BJAK Logo

BJAK

Senior Technical Product Manager - AI Agents, Evals & Reliability

Posted 10 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner closely with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, reliability, and user experience. Define offline and online evaluation frameworks, drive product execution, and ensure AI features are correct, predictable, safe, and trusted. Translate model capabilities and feedback into product decisions, roadmaps, and rapid iteration.
The summary above was generated by AI
About A1

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.

 
Role

This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application.

 
What You'll be Doing
  • Research and define end-to-end AI system requirements from capability to behavior to user impact

  • Translate model capabilities, data constraints, and evaluation results into clear product and system decisions

  • Make hard trade-offs across quality, latency, cost, reliability, and UX

  • Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration

  • Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback

  • Drive execution with clear specs, strong judgment, and disciplined prioritization

  • Ensure systems ship quickly, safely, and reliably, with strong feedback loops

  • Own product quality end-to-end - correctness, predictability, and user trust

 
What You Will NeedTechnical foundation
  • Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.

  • Solid understanding of ML fundamentals and how modern AI systems behave in production.

  • Comfort reading, reviewing, and discussing technical design documents.

AI & ML experience
  • Hands-on exposure to AI-powered products, including LLM-based systems.

  • Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.

  • Strong intuition for model limitations, hallucinations, bias, and drift.

Product leadership
  • Significant experience owning complex, technical products end-to-end.

  • Proven ability to work closely with senior engineers and ML teams.

  • Strong judgment and decision-making ability in ambiguous, fast-moving environments.

  • Ability to balance ambition with technical and operational reality.

 
Nice to have
  • Experience shipping AI-heavy consumer products.

  • Background as an engineer or highly technical product manager.

  • Experience defining evaluation metrics for ML systems.

  • Strong intuition for AI UX patterns and failure handling.

  • Prior experience in zero-to-one product environments.

 
Outcomes
  • Product strategy clearly aligns AI capabilities with user needs and company priorities.

  • AI features deliver real value, are understandable, predictable, and trusted by users.

  • Decisions balance quality, speed, cost, and reliability effectively under uncertainty.

  • Roadmaps and priorities are clear, with fast iteration based on real user feedback.

  • Teams are aligned, focused, and able to execute on AI product goals with minimal friction.

 
How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.

Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.

 
Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Similar Jobs

8 Minutes Ago
Remote
US
148K-222K Annually
Senior level
148K-222K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Owns the post-sales customer lifecycle for enterprise accounts, including onboarding, adoption, success planning, renewals, escalation management, executive communication, and customer advocacy. The role coordinates cross-functional teams, monitors customer environments and trends, drives product usage and time to value, develops recommendations and RCA documents, and proactively improves customer satisfaction, retention, and growth.
Top Skills: Cloud Data ManagementRubrik Security Cloud
15 Minutes Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Lead Qualtrics’ global public relations strategy, media relationships, crisis communications, content development, events, analytics, and executive thought leadership. Manage a global PR team and agency partners while collaborating with marketing, product marketing, customer success, corporate communications, executives, journalists, and influencers. Measure media coverage, sentiment, and brand impact, provide leadership reporting, and strengthen the company’s visibility, reputation, and messaging across key markets.
15 Minutes Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads software engineering within JPMorganChase’s CTO organization, designing, developing, testing, debugging, and supporting secure, scalable production systems. Builds advanced Java applications using AWS, Aurora, and PostgreSQL; improves application resiliency and operational stability; and guides teams in responsible AI-assisted development. Reviews code, drives automation, supports incident management, evaluates architectural solutions, and coaches engineers on secure, compliant AI tool adoption. Preferred experience includes Terraform, MyBatis, Node.js, modern frontends, and AI coding tools.
Top Skills: Amazon AuroraAWSCi/CdClaude CodeGithub CopilotJavaMybatisNode.jsPostgresTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account