Positron AI Logo

Positron AI

Technical Product Manager, AI Inference & Software

Posted 6 Days Ago
Remote
Hiring Remotely in United States
200K-350K Annually
Expert/Leader
Remote
Hiring Remotely in United States
200K-350K Annually
Expert/Leader
Own technical product planning for AI inference software: define requirements across model coverage, numerics, inference engine and serving-stack features, roadmap planning, ecosystem engagement, documentation, lifecycle management, and automation using agentic AI. Translate model and system trends into engineering scope and partner with engineering and GTM teams to deliver a managed inference service.
The summary above was generated by AI
About Positron AI

Positron AI is building next-generation AI inference accelerators designed from the ground up for low-latency, high-throughput large language model inference. Our first-generation ASIC, Asimov, is a cutting-edge accelerator targeting frontier AI workloads, with additional generations already underway.

Role Overview

Positron AI is looking for a Technical Product Manager to own AI inference and software technical product planning end to end. In this role, you will be the person who translates where models and inference systems are heading into concrete, well-scoped requirements for our inference software stack, spanning model coverage, numerics, inference-engine features and modes, serving-stack capabilities, and our managed service.

This is a deeply technical planning role that sits at the intersection of engineering, go-to-market, and the broader inference ecosystem. You will track the model frontier as a discipline, convert that movement into engineering requests before it becomes a customer escalation, and serve as the connective tissue between our engineering organization, our GTM teams, and our ecosystem partners. You will also be expected to use agentic AI daily as a core part of how the planning function operates.

Key Responsibilities
  • Be the leader in Positron for all aspects of AI Inference & Software Technical Product Planning.
  • Write requirements for our inference software stack spanning model coverage, numerics, inference-engine features/modes, serving-stack features/modes, and managed-service capabilities.
  • Keep our planning ahead of where models and inference systems are going - track the model frontier as a discipline and convert movement into requirements before it becomes a customer escalation.
  • Work with engineering and GTM on communicating a roadmap.
  • Work closely with GTM teams to understand customer and market needs.
  • Define and manage the software product lifecycle: versions and release trains, feature modes, model catalog and deprecation policy.
  • Creative competitive briefings.
  • Work with our key ecosystem partners - model labs, open-source runtimes, serving and orchestration partners - to understand their technology roadmaps.
  • Create scope/feasibility frameworks to convert model and inference-system innovations into tangible engineering requests.
  • Ensure our software products are well documented.
  • Streamline & automate the product planning processes using agentic AI.
Required Qualifications
  • 10+ years experience with a strong mix of these types of technical skills:
    • ML systems, inference infrastructure, or serving-stack engineering with direct ownership of performance or architecture trade-offs - transformer internals at the operator level: attention variants, MoE routing, KV-cache mechanics, quantization formats and their hardware implications.
    • Production inference serving at scale touching on multi-tenancy, latency SLAs (TTFT/TPOT), batching and scheduling, disaggregated serving, KV-cache management, and observability.
    • The open-source inference ecosystem - runtimes (vLLM/SGLang-class), kernels, model ingestion, and how models are released, quantized, and adopted in practice.
    • Performance analysis spanning models & systems: utilization reasoning, tokens per $ and per W arithmetic, benchmark design - able to build and defend the math personally.
    • Competitive landscaping and analysis of inference providers and serving stacks, at a model lab, inference API provider, or AI hardware company.
  • 10+ years with a strong mix of these type of personal & analytic skills:
    • Quick learner with the ability to span model-architecture details up to fleet-scale serving systems. Stays current with the model and inference landscape.
    • Excellent communication and people skills, comfortable navigating uncertainty, and driving a process of idea & decision socialization.
    • Comfortable being the most technically grounded person in a GTM room and the most market-aware person in an engineering room.
    • Owning decision history: be the personification of documented answers to “why did we choose X”, and do so with our executive leadership.
    • Demonstrated daily, hands-on use of agentic AI in real technical work -  building and running agent workflows for research, analysis, and drafting req’s - with the judgment to verify and own everything the agents produce.
Leveling & Scope

While this role is currently posted at a specific level, we are a growth-oriented organization and are open to hiring at a more senior level for the right candidate. Please note that this job description serves as a focused but generalized overview of the role; specific responsibilities and impact expectations will be tailored to the experience and seniority of the final hire.

Why Join Us?
  • You will shape the software roadmap for a purpose-built inference accelerator, working at the layer where model architecture, systems performance, and real customer workloads meet.
  • You will have unusually direct influence, defining what gets built across the inference stack and seeing it land in silicon-backed products that compete on performance per dollar and performance per watt.
Compensation & Benefits

The base salary range for this role is $200,000 – $350,000.


Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits.


At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role. Final offers are determined based on a variety of factors, including internal equity, and individual impact.

Benefits & Perks

We want you to do your best work and feel confident that you and your family are taken care of. That means comprehensive coverage, real time to rest, and support for your future.

Health and wellness

  • Fully company-paid medical, dental, and vision insurance for you and your dependents
  • Company-paid life and disability coverage, with voluntary options to add more
  • Supplemental hospital, critical illness, and accident coverage available

Time off and flexibility

  • Unlimited paid time off, we encourage everyone to truly unplug and recharge
  • 13 paid company holidays
  • Remote-first culture with a company-provided computer and home office setup

Compensation and future

  • Competitive salary and equity
  • 401(k) with company matching, eligible from day one
Visa Support

This position is open to candidates currently authorized to work in the U.S. We cannot provide new visa sponsorship for this role but are open to facilitating H-1B visa transfers for eligible candidates.


Equal Opportunity Employer. If you're excited about the role but don't meet every bullet, we'd still love to hear from you.


Similar Jobs

2 Hours Ago
Remote or Hybrid
50K-94K Annually
Entry level
50K-94K Annually
Entry level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage a caseload of routine to moderately complex workers' compensation claims: investigate coverage and liability, set and adjust reserves, negotiate settlements within authority, refer files as needed, and collaborate with claimants, policyholders, attorneys, and partners. Participate in required training and occasional onsite work.
2 Hours Ago
Remote or Hybrid
83K-157K Annually
Senior level
83K-157K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage complex, litigated construction-related casualty claims ($500K+): lead coverage and liability strategy, direct investigations and experts, coordinate litigation and outside counsel, set reserves and resolution plans, negotiate settlements, collaborate with underwriting and other partners, and mentor junior claims staff.
2 Hours Ago
Remote or Hybrid
106K-197K Annually
Senior level
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Configure and enhance SAP finance reporting for the Record-to-Report process. Analyze, develop, and test reporting use cases, build CDS views, support production users, create test scripts, train stakeholders, and contribute to implementation, cutover, and post-implementation support for month-end close and global reporting standards.
Top Skills: AbapAnalysis For OfficeCore Data Services (Cds)Data ModelingEclipseETLFi/CoFpslOdata ServicesPapmSap Analytics CloudSap BpcSap BwSap HanaSap Hana SqlSap S/4 Embedded AnalyticsSap S/4HanaWeb Intelligence

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