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Sr. Technical Product Manager

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Inherent Technologies
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Position

Sr. Technical Product Manager

Location:

Bellevue, WA (Onsite)
Duration: 1 year

What You'll Do
  • Embed with internal teams and external customers to understand workflows, pain points, and goals, and design and deploy solutions that fit.
  • Build production‑quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
  • Prototype rapid prototypes and proofs‑of‑concept, iterate based on direct user feedback, and move them into reliable, scalable production.
  • Integrate data pipelines, APIs, and third‑party systems, handling the real‑world messiness of enterprise environments.
  • Partner with end users and stakeholders – run demos, gather requirements, troubleshoot live, and translate technical concepts into business value.
  • Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
  • Monitor and improve solutions for reliability, performance, and adoption after launch – own outcomes, not just deliverables.
  • Establish playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.
Expectations From This Role
  • Act under some guidance from Product Engineer II and understand product requirements and user stories from customer discovery process.
  • Create high/low level design documents and maintain necessary artifacts.
  • Ensure requirements coverage of complex features with unit test cases.
  • Troubleshoot development and production problems across multiple environments and operating platforms; provide technical guidance to the team to resolve challenging problems.
  • Create effort estimation and ETA for deliverables, ensuring adherence to timelines/SLAs where applicable.
  • Ensure code coverage and code quality by active participation in code reviews.
  • Ensure adherence to best practices and standards, providing periodic status updates.
  • Execute test cases and prepare release documents in line with the requirements.
  • Ensure career progression for Associate Product Engineers via focused mentoring and grooming.
  • Optimize efficiency, cost, and quality.
  • Influence and improve customer satisfaction.
  • Set OKRs for self/team and provide feedback on these goals of team members.
Experience
  • 8+ years building and shipping software in production, with significant time owning complex, ambiguous projects end‑to‑end with minimal supervision.
  • Technical depth: deep, hands‑on programming expertise (Python, JavaScript/Type Script, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
  • Platform fluency: proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows).
  • Real breadth and quick adaptation to the right tool for the problem.
Customer‑Facing Track Record
  • Shipped solutions directly with end users, navigated enterprise complexity, and earned trust of senior stakeholders.
Leadership
  • Led projects, set technical direction, and raised the bar for those around, formally or informally.
Communication
  • Exceptional written and verbal communication; translate fluidly between deep technical detail and executive‑level business value.
  • Bias for action: ship, learn, iterate.
Nice To Have
  • Experience deploying AI/ML or LLM‑based solutions in an enterprise setting.
  • Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
  • Experience as a founding or early member of a new team or function.
  • Telecommunications or large‑scale enterprise data domain knowledge.
Typical Performance Measures
  • Adherence to engineering process and standards (coding standards)
  • Adherence to project schedule / timelines and effort estimation
  • # of technical issues uncovered during the execution of the project
  • # of defects in the code
  • # of defects post delivery
  • # of non compliance issues
  • Adherence to mandatory domain certification/ product certifications
Product Requirements
  • Understand functional/non‑functional requirements from stakeholders; participate in cross‑functional meetings to review product stories, create clarification list to resolve ambiguities.
  • Conduct feasibility study to understand impact on existing product.
  • Provide…
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