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Technical Product Manager

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AI Summary

Technical Product Manager responsible for building and shipping AI agents, designing integrations, and creating evaluation suites. Requires 5-15 years of experience in product management or founding B2B software products. Excited about working with coding agents and launching technical B2B SaaS or AI products.

Key Highlights
Building and shipping internal AI agents
Designing and building integrations and MCPs
Creating evaluation suites and iterating to improve agent performance
Key Responsibilities
Building and shipping internal AI agents that push code to production, manage company knowledge, and handle entire jobs end-to-end
Owning context architecture and management—defining sources of truth and ensuring documentation stays synchronized with reality
Designing and building integrations and MCPs that make internal tooling accessible to agents across the company
Creating evaluation suites, monitoring agent trajectories, and iterating to improve agent performance
Inventing new infrastructure, interfaces, and operating models for human-agent collaboration as Basis scales at extraordinary speed
Technical Skills Required
AI Model Context Protocol (MCP) Coding Agents
Benefits & Perks
Salary $175K - $275K
Highly competitive equity
Residency: US Citizen, Permanent Resident & Open to visa transfers (H1B transfers)

Job Description


My Client in New York, US is looking for:


Technical Product Manager (Onsite).


Salary

$175K - $275K


Equity

Highly Competative Equity


Residency:

US Citizen, Permanent Resident & Open to visa transfers (H1B transfers)


On-site work policy

5 days in-office in Flatiron, New York City


Location

New York, NY


What will you be doing?


Building and shipping internalAI agents that push code to production, manage company knowledge, and handle entire jobs end-to-end:


  1. Owning context architecture and management—defining sources of truth and ensuring documentation stays synchronized with reality
  2. Designing and building integrations and MCPs that make internal tooling accessible to agents across the company
  3. Creating evaluationsuites, monitoring agent trajectories, and iterating to improve agent performance
  4. Inventing new infrastructure,interfaces, and operating models for human-agent collaboration as Basis scales at extraordinary speed


What they are lookingfor:

  1. First principles thinker
  2. Builder mindset
  3. Track recordof launching technical B2B SaaS or AI products.
  4. Excited aboutworking with codingagents (we give every engineerand operator an unlimited token budget)


5 - 15 years of experience as a product manageror founder buildingB2B software products


Tech stack

Coding Agents,Agent Infrastructure, MCP (Model ContextProtocol)


The product


Basis builds AI agents that learn accounting the same way accountants do — by being agentic and doing the work. Rather than rebuilding accounting software,Basis's agents operate within the existing accounting software ecosystem, completing complex tasks end-to-end for some of the largest accounting firmsin the world.

Agents can work for hours at a time, performing tasks like completing partnership tax workbooks, creating complexjournal entries, debuggingdifficult reconciliations, and preparing technical accounting memos.


Think of it as Cursor for accounting — AIthat dramatically multiplies accountant productivity by 10x to 100x. Basis's capabilities improve monthly, with the rate of improvement itself accelerating, deploying production-grade, long-horizon agents at scale in the real economy.


REQUIREMENTS


  • Please do not submit any candidates who have been fired or laid off from their most recent role.
  • 5 - 15 years of experience as a product manager or founder building B2B software products
  • Product Manager at a high- growth B2B SaaS or AI startup (Series B - Series E) – need to see exposure to high- ownership, fast paced environments
  • Experience working with an engineering team on a highly technical product (AI agents, data platform, etc. )
  • Ability to code proficiently or a major power user of AI coding tools → Must be able to build using AI and Deep understanding of SDLC automation
  • Average company tenure of 2+ years


Education

  • Degree from a top 40 university in the US, Canada, or Europe OR University of Berkley



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