AI Product Builder, Associate

InvestorFlow

$105K — $115K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Early-career engineer or technical product builder with 1-3 years of experience.
  • Hands-on exposure to large language models (LLMs), generative AI, and prompt engineering.
  • Curiosity about and understanding of product delivery processes.
  • Ability to communicate technical concepts clearly to diverse audiences.
  • Basic proficiency in technical fundamentals such as Python, Go, and SQL.
  • Interest in private markets or fintech, with relevant experience as a plus.

Responsibilities

  • Analyze workflows and user behavior to identify impactful problems.
  • Synthesize client feedback and business context into product hypotheses.
  • Contribute to feature scoping and roadmap definition alongside senior team members.
  • Influence product decisions through quality evidence and execution.
  • Validate product ideas through technical work and reduce delivery risks.
  • Design and iterate on AI-powered product features requiring engineering.
  • Collaborate with engineers to transition validated concepts into production.

Benefits

  • Dynamic work environment with growth opportunities.
  • Exposure to cutting-edge AI technologies.
  • Collaboration with cross-functional teams including product and engineering.
  • Opportunities to engage with clients to gather real-world insights.
  • Continued learning and development opportunities as you expand your role.
Full Job Description
AI Product Builder, Associate

You Will:

Product Contribution & Learning
  • Analyze private markets workflows and user behavior to identify high-impact problems worth solving.
  • Synthesize client feedback, usage signals, and business context into clear product hypotheses and feature definitions.
  • Contribute to roadmap definition, feature scoping, and prioritization alongside senior PMs and engineers.
  • Influence product decisions through evidence, judgment, and execution quality.


AI Product Development
  • Use hands-on technical work to validate product ideas and de-risk delivery.
  • Design, implement, and iterate on AI-powered product features where engineering is required to prove value.
  • Build and refine LLM prompts, pipelines, and workflows that surface insights and perform tasks.
  • Collaborate closely with engineers to take validated concepts into production.
  • Monitor AI skill quality signals across clients and channels; tune prompts, adjust data
  • contexts, and validate improvements using structured evaluation approaches.


Delivery, Communication & Feedback
  • Help produce documentation, release notes, and demos that explain what was built and why.
  • Support internal teams (product, engineering, client success) in understanding and deploying new features.
  • Occasionally engage directly with clients or end users to understand real-world usage and pain points.


Your scope will expand as you demonstrate judgment, execution quality, and reliability.

You Have:

  • Early-career engineer or technical product builder (internships, projects, or 1-3 years
    experience).
  • Hands-on exposure to LLMs, generative AI, prompt engineering, agent development
  • Curiosity about product delivery, not just model behavior.
  • Ability to explain technical and product concepts clearly to different audiences.
  • Technical fundamentals (i.e. Python, Go, SQL).
  • Interest in private markets, fintech, or complex B2B workflows (experience is a plus, not
    a requirement).


Tech Stack & Tools (nice to haves)
  • Languages / Tools: Python, Go, SQL, Pandas, Git, shell
  • Platforms: Investorflow Proprietary AI Platform + Snowflake, Salesforce, LLM API (Anthropic, OpenAI, and others), MCP-compatible integrations
  • Infrastructure: Kubernetes (basic familiarity), data pipelines, ETL
  • Product: Github, Jira, Productboard


$105,000 - $115,000 a year

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