or apply directly on Addepar's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 76 days Addepar's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 43% of Addepar's roles list one
- Ghost-job risk at Addepar
- high 116 stale, 7 reposted of 117 open
- Hiring momentum
- 175 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Addepar's own greenhouse board since 2026-08-03. Full hiring picture for Addepar.
About this role
As a Sr. Software Engineer on the Reference Data team at Addepar, you will be responsible for architecting and delivering AI-native products that enhance the company's platform. Your role involves collaborating with product teams to understand their needs, leading the development of core AI capabilities, and ensuring the robustness and scalability of these systems. You will also evaluate new AI technologies and drive continuous improvement based on user feedback and performance metrics.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Addepar as an employer.
What you need
- B.S. or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
- Extensive software engineering experience
- 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
Nice to have
- Specific experience with LLMs and agentic systems
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
- Advanced understanding of the probabilistic systems underpinning modern LLMs
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus
Worth weighing
- No salary listed
- Visa sponsorship is not available for this role
- The role requires a strong focus on AI and may involve working with cutting-edge technologies that could be rapidly evolving
Summarised from Addepar's posting. Read the full original.
Listed by Addepar on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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