Careers at Addepar1

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are looking to add a highly experienced and impactful colleague to the organization to drive the transformation of Addepar’s Production Engineering and SRE team. This role focuses on evolving our platform towards enabling high-level declarative infrastructure orchestration and its operations. This platform closely integrates our Compute, Network, and Storage control planes, allowing us to develop highly efficient and fast-to-iterate-on services tailored to various product areas within the company, abstracting our developers from the nuances of underlying infrastructure. The ideal candidate will play a senior leading role in implementing, maintaining, and strategically evolving Addepar’s Production Infrastructure.. You will bring a robust combination of leading innovative solutions across functional teams and extensive hands-on development experience in AWS/cloud, Linux/Unix, networking, advanced scripting abilities, containerization, Kubernetes, Terraform, Information Security, deep debugging, and comprehensive monitoring/observability skills. This includes designing, deploying, monitoring, automating, and optimizing all operational aspects of Addepar's platform with a focus on reliability, scalability, and efficiency. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Lead the design, implementation, and operationalization of container infrastructure using Kubernetes (k8s), ensuring high availability, performance, and security Build, and maintain advanced, automated CI/CD pipelines using Jenkins, ArgoCD, AWS CodeBuild/Pipeline, GitHub Actions, or similar, establishing best practices for deployment strategies (e.g., blue/green, canary) Drive the adoption and evangelism of Infrastructure as Code (IaC) principles using Terraform, focusing on scaling the Addepar Platform across regions with a focus on cost optimization and operational efficiency Develop deep application-level knowledge to proactively inform and influence infrastructure requirements and constraints for Developers, QA, and Management, including implementing sophisticated dashboards for Cost and Inventory management, performance analysis, and capacity planning Perform advanced monitoring and troubleshooting of our infrastructure and application stack using a wide array of logging/monitoring tools, driving root cause analysis and implementing preventative measures Initiate and lead collaborations with cross-functional teams to identify and resolve complex Application or infrastructure issues, serving as a technical subject matter expert Serve as a primary on-call responder for critical incidents, demonstrating strong problem-solving skills under pressure and contributing to post-incident reviews to improve system resilience Who You Are Extensive experience of progressive experience in the SRE/DevOps/Systems Engineer field, with a track record of taking on increasing responsibility Expert-level understanding of Cloud Infrastructure fundamentals (AWS preferred), including advanced networking, security, and managed services Exceptional Programming/Scripting skills in various common languages (Python , Bash, and general Linux tools are essential; Java is a strong plus), with an emphasis on building scalable, maintainable automation and tools Broad expertise with UNIX/BSD/Linux internals (Ubuntu preferred), including performance tuning, kernel-level debugging, and advanced system administration Extensive Containerization experience with k8s (KOPS, EKS, ECS preferred), including cluster management, custom resource definitions (CRDs), and advanced deployment strategies Proficient experience with comprehensive monitoring, logging, and alerting tools such as Prometheus, Grafana, Sentry, Sumologic, or advanced AWS cloud-native tools, with a focus on observability strategy Excellent interpersonal and communication skills to effectively collaborate with multi-functional teams, articulate complex technical concepts, and influence outcomes Demonstrable experience writing and contributing to significant systems automation tooling or open-source projects is a strong plus Exposure to industry practices in financial services is a plus Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within Warsaw. Compensation for this role includes base salary.Your recruiter can share more about the specific salary range during the hiring process. Base Salary Range 310 000 zł — 372 000 zł PLN Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a full stack software engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll join a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Collaborate with product, design, engineering, and key clients to define and deliver solutions that support and streamline user workflows Work alongside senior software engineers to deliver features end to end, with strong opportunities for ownership Coordinate with our web platform and design system teams to ensure our product is a seamless part of the Addepar user experience Engage in the budding inner-source culture within Addepar, fostering standardization across the myriad of React, terraform and Python codebases within the company Who You Are Bachelor’s degree in Computer Science or equivalent experience 2+ years full-stack development experience OR 1+ years experience with front end development technology 1+ years backend development experience You care about delivering quality and value to clients in an agile manner Python or Java development experience a big plus Experience with React, web components, Svelte, and/or Ember a big plus Full-stack, product engineering experience a big plus Experience with gen AI for coding a plus Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $114,000 — $178,000 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking an experienced backend software engineer to join the Platform Integrations team! We are looking for a staff engineer to join us in building client onboarding solutions, to enable clients to bring their data on to our systems, allowing them to report, analyze, and understand their data, and work with all their data in one central place. We interface with product and client solutions teams to gain a deep understanding of the data and of client’s needs. We implement performant workflows and data systems that our users depend on for their day-to-day operations. We build with quality and user experience in mind to ensure internal teams experience low friction and high scalability in onboarding client’s financial data. The Platform Integration team is passionate about handling large volumes of data and in automation to reduce manual effort. We are looking for a staff engineer who is interested in technical challenges and is motivated to understand the problems facing our users today. If you’ve designed scalable solutions and built data systems, and if you have a strong technical and problem-solving background, join us! Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Collaborate multi-functionally with Product, Client Solution teams, and other engineering teams to deliver holistic client onboarding solutions Write well-designed and tested code to solve complex engineering problems Lead individual projects including ownership of areas such as technical solution and architecture design, timeline and estimation, coding and implementation Communicate technical ideas and steer direction on projects from an engineering standpoint Mentor and guide other engineers on the team Who You Are 7+ years of experience as a software engineer, preferably with Python and/or Java A strong ownership mentality and strong communication skills. You enjoy taking ideas from inception through to production Robust analytical and problem solving skills Experience with data processing and analysis using PySpark or similar frameworks is a plus Experience building data systems using AWS is a plus Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $158,000 — $248,000 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking an AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As an AI Engineer, you will be responsible for designing, building, and productionizing the core AI capabilities that power our platform. This is a hands-on role where you will be on the frontier of applied AI with research and engineering, working directly with LLMs and agentic frameworks to translate cutting-edge concepts into robust, scalable products and capabilities. You will own the full lifecycle of AI-native products, from prototyping and evaluation to building the scalable backend systems that deliver them to our clients. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Design and build end-to-end AI-native products, from initial prototype all the way to scalable production services. Develop and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement. Drive the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry. Collaborate with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly. Who You Are 1-3+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes. A strong, systems-level foundation in building and scaling backend services (e.g., understanding microservices, APIs, and concurrency). Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI. A strong bias for action, with a passion for shipping rapidly and iterating with feedback. Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI. BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience. (Preferred) Specific experience with LLMs and agentic systems. (Preferred) Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow. (Preferred) Advanced understanding of the probabilistic systems underpinning modern LLMs. (Preferred) Experience building AI products in highly accuracy-sensitive domains such as finance is a plus. Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $163,000 — $203,500 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence for all of our AI products Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly Who You Are 3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes Proven track record of owning and shipping complex, production-grade systems. Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team A strong bias for action, with a passion for shipping rapidly and iterating with feedback BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plus Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $188,000 — $235,000 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a well rounded Staff AI Security Engineer to join our growing Information Security & Risk team. In this role, you will be a member of our newly formed Security Solutions team. This team is at the forefront of driving organization-wide security enhancements through high-impact, project-driven initiatives with a heavy focus on AI. If you are looking for an opportunity to build from the ground up, influence security architecture, and meaningfully elevate Addepar’s overall security posture, this is the role for you. What You’ll Do Focus on AI Security in the following areas: Innovation & Strategy - Keep up with the latest trends, models and innovations in all facets of AI Security and advise on proper architectures Platform AI Security - Working with our Engineering and Application Security teams to ensure our products are leveraging AI in a secure manner across our platform. AI Enablement -Partnering with our Architecture team to continue to evolve Addepar’s Internal AI Productivity initiatives by securely enabling our business to leverage AI to streamline processes and enhance productivity. AI Security Defense in Depth - Focusing on how to protect Addepar against AI based attacks and threats such as Supply Chain compromises by doing the following: AI Guardrails - Advising or implementing guardrails and controls to minimize data loss risks and use of insecure or unapproved methods of AI use. AI for Security - Guiding and Mentoring fellow Security teams on how to leverage AI for security benefits. AI Governance - Ensure documentation and guidance for all employees is kept up to date and assist with any questions or concerns that arise. While the focus is on AI Security, as part of the Security Solutions team; you will have the opportunity to: Drive Security Initiatives: Lead and execute complex, project-driven security enhancements across the organization’s infrastructure, applications, and corporate environment. Security Architecture & Design: Collaborate with engineering and product teams to architect, build, and deploy scalable, resilient security solutions. Enablement & Automation: Build tools, guardrails, and automated workflows that empower development teams to ship secure code quickly and safely. Risk Mitigation: Identify gaps in the current security posture, design remediation plans, and systematically execute them to maturity. Cross-Functional Collaboration: Act as a trusted security advisor across engineering, product, and R&D teams, fostering a strong culture of security enablement rather than restriction. Mentorship: Mentor junior and mid-level engineers within the Information Security & Risk team, helping to elevate collective technical capabilities. Who You Are Experience: 9+ years of dedicated experience in security engineering, application security, infrastructure security, data security or cloud security roles. Project Leadership: Proven track record of taking vague security problems, turning them into structured project plans, and executing them to completion. Attention to details and analytical skills. Curious, always learning and deeply interested in Information Security. Ability to build strong relationships and work collaboratively with internal and external partners. Excellent verbal and written communication skills with the ability to build strong relationships with internal stakeholders and external partners. Desired Technical Skills Deep expertise in all aspects of AI including AWS Services, LLM’s, MCP, Agentic Agents, Frameworks, Governance & Regulations, Attacks, Guardrails and solid understanding of costs. A Software Engineering background is a strong plus. Amazon Web Services across its most widely used services, especially Security services. Strong experience and understanding with Authentication & Authorization protocols. and how non-human identities can be secured appropriately. Nice to Have AI based certification such as AAISM, AAIA or CAISP. Knowledge and Experience with AI based frameworks such as NIST AI Framework or EU Artificial Intelligence Act Knowledge and Experience with MITRE ATLAS or OWASSP Top 10 for LLM’s. Bachelors or Masters Degree with a focus in Information Systems/Computer Science/Security Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Base Salary Range $159,000 — $249,000 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Backend Software Engineer for our Portfolio Data Products team. In this role, you'll be at the forefront of maintaining and evolving critical API services that power our financial data ecosystem, while helping to modernize our architecture to support our expansion into European markets and beyond. You'll have the opportunity to shape the future of our platform by implementing robust solutions that scale across multiple regions, enhance user experiences, and ensure compliance with European and international financial regulations. This position offers exceptional scope for technical leadership in transforming how our global clients interact with and leverage financial data. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Build and scale API services to support our rapidly growing European customer base. Advance our financial models to support a wide range of advanced financial products, such as structured notes, derivatives, and international alternative investments. Contribute to architecture designs, product roadmap, and code reviews. Collaborate effectively with other engineers, product managers and stakeholders, in line with our company values outlined below. Be part of an expanding cross-functional organization & growing our global customer base Who You Are Degree in a STEM field, such as Computer Science, or equivalent practical experience in the industry. Previous experience building backend services in a professional environment. Experience building services with Java or a similar object oriented programming language. Experience with SQL, Elasticsearch, AWS or JavaScript are nice-to-have. Demonstrable knowledge of using AI in a professional engineering environment. An understanding of development best practices and experience working in an agile team. Interest or experience in the financial industry or wealth management in particular. Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence for all of our AI products Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly Who You Are Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes Proven track record of owning and shipping complex, production-grade systems. Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team A strong bias for action, with a passion for shipping rapidly and iterating with feedback BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plus Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected] .