Job description

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 Early Career Product Manager to join the AI product management team. Our team owns some of Addepar's flagship AI products, including Addison, agentic workflows, and the Addepar MCP. Our mission is to accelerate front- and back-office work for the investment industry. As an Early Career Product Manager, you'll get hands-on experience across the full product lifecycle, working alongside senior PMs in a high growth, fast moving environment - leveraging the latest and greatest in conversational AI, agents, and emerging standards like MCP to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, marketing, go-to-market to drive new AI products to success. This is a fast-paced, cross-functional role for a hands-on operator who wants to get real AI products into clients' hands, making an impact at the intersection of AI, customer-centric product development, and financial technology. 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 development of new AI features: help scope requirements, write specs, partner with engineering, design, and GTM to get them built and launched Dig into how clients actually use our AI products today, surface what's working and what isn't, and turn those insights into clear, actionable product recommendations Own well-defined pieces of the roadmap under the mentorship of senior PMs, with increasing autonomy Get hands-on with the AI tools and techniques the team uses daily, including prompting, evaluating agent behavior, and understanding what makes an AI feature actually work in practice Define product analytics focused on usage patterns, adoption, feature performance Help the team stay organized and move fast: support operations, maintain product documentation, and triage incoming feedback and bugs Work directly with cross-functional partners in engineering, design, marketing, and go-to-market to keep execution tight and stakeholders aligned Who You Are 0–2 years of professional experience; strong internship, research, or project experience in a fast-paced, analytical environment is a plus Genuinely excited about AI and how it's changing what products can do. You use AI tools yourself, you keep up with what's new, and you have opinions about where this is all headed Sharp analytical instincts. You're comfortable breaking down ambiguous problems, working with data, and reasoning your way to a recommendation A bias for ownership. You don't wait to be told exactly what to do — you ask good questions, make a plan, and move Excellent written and verbal communication. You can explain a technical idea clearly to both an engineer and a client Comfortable communicating with senior stakeholders, whether that's a client or an executive Low ego, high accountability. You're as comfortable digging into the details as you are stepping back to see the bigger picture Drawn to fast-paced, high-growth environments where the problems are still being defined and the stakes are real Curiosity about financial services and fintech is a plus, but not required Experience speaking or working directly with clients is a plus, but not required Engineering/ CS background is a plus, but not required 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 $83,000 — $130,000 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 ta-operations@addepar.com .

Requirements

Must-haves

Genuinely excited about AI and how it's changing what products can do. You use AI tools yourself, you keep up with what's new, and you have opinions about where this is all headed
Sharp analytical instincts. You're comfortable breaking down ambiguous problems, working with data, and reasoning your way to a recommendation
A bias for ownership. You don't wait to be told exactly what to do — you ask good questions, make a plan, and move
Excellent written and verbal communication. You can explain a technical idea clearly to both an engineer and a client
Comfortable communicating with senior stakeholders, whether that's a client or an executive
Low ego, high accountability. You're as comfortable digging into the details as you are stepping back to see the bigger picture
Drawn to fast-paced, high-growth environments where the problems are still being defined and the stakes are real
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.

Nice-to-haves

0–2 years of professional experience; strong internship, research, or project experience in a fast-paced, analytical environment is a plus
Curiosity about financial services and fintech is a plus, but not required
Experience speaking or working directly with clients is a plus, but not required
Engineering/ CS background is a plus, but not required
Compensation for this role includes base salary + bonus + equity + benefits.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

Platform: greenhouse
Effort: quick