BJAK Logo

BJAK

Head of Product, AI

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the AI product strategy by balancing user needs, technical feasibility, and system constraints. Collaborate with engineering teams to drive execution and ensure quality of AI features in production.
The summary above was generated by AI
About the Role

A1 is building a proactive AI system that carries work forward across conversations, tools, and time.

You define what we build and why, grounded in what AI systems can actually do in production. You sit at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable user value.

This is a hands-on role for product leaders who are comfortable making decisions under uncertainty and working closely with engineers on hard technical trade-offs.


What You'll be Doing
  • Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.

  • Translate model capabilities, data limitations, and evaluation results into clear product decisions.

  • Make hard trade-offs across quality, latency, cost, reliability, and user experience.

  • Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.

  • Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.

  • Drive execution with clear specifications, risk awareness, and disciplined prioritization.

  • Ensure AI features ship quickly, safely, and reliably into production.

  • Own AI product quality across UX, correctness, and outcomes.


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.


How We Work

Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.

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.

Top Skills

AI
Ml

Similar Jobs

20 Days Ago
Remote
USA
260K-285K Annually
Senior level
260K-285K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The role involves leading an engineering team to develop innovative GenAI solutions, drive prototyping, and ensure technical execution while collaborating with cross-functional teams.
Top Skills: Cloud-Native EngineeringGenai TechniquesLlmsMulti-Agent FrameworksRetrieval-Augmented Generation
19 Minutes Ago
In-Office or Remote
Herndon, VA, USA
199K-365K Annually
Senior level
199K-365K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
The Senior Account Executive will drive new business and expand existing partnerships within the U.S. Air Force, using strong sales skills and deep federal sales acumen.
Top Skills: AnalyticsGeospatial SolutionsSoftware
20 Minutes Ago
In-Office or Remote
Herndon, VA, USA
199K-365K Annually
Senior level
199K-365K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
The Senior Account Executive will drive new business within a key Intelligence Community customer, focusing on geospatial intelligence solutions, building relationships, closing contracts, and leading complex deals to support customer missions.
Top Skills: Salesforce

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account