Sr. Technical Product Manager

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/TypeScript, 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 inputs to development lead on estimation. Understand new/complex product requirements. Create low‑level design documents capturing class‑level diagram, attributes, and sequence diagram. Seek review inputs from architect and incorporate the same. Product Design and Development Develop/Support scripts (like PowerShell) that automate configuration/build/deployment tasks. Onboard and extend existing tools to product dev/support teams. Deliver components that automate parts of the build/deploy lifecycle. Configure a CI/CD pipeline usable by application dev/support teams. Create POCs to identify feasibility of new technologies/products and share findings with architecture team. Provide technical inputs for product research, design, analysis, testing, process improvement, and troubleshooting critical large projects. Provide technical expertise to resolve challenging programming and design problems. Participate in code reviews and eliminate implementation problems early. Create/review low‑level design documents for product enhancements. Seek review inputs from product specialist. Build code as per the design document. Support client in user acceptance testing if required. Product Testing Review test cases/test plan; conduct integration testing and resolve defects/bugs. Product Training and Documentation Provide inputs to technical publications and review documentation of key features, as required. Product Sign Offs Resolve existing issues. Gather user feedback from client and identify ways to enhance usability. Project Management Provide inputs on status of module development to the development lead. People Management Mentor software engineers and conduct one‑on‑one sessions to coach team members. Enable high performance for team members using FAST G&F. Skill Examples Uses Domain/Industry Knowledge to independently understand, capture business requirements and fine‑tune, interact with SME at various stages of development. Use Product Design knowledge to design/implement business and non‑functional requirements. Use knowledge of Product Features/Functionality to understand technical dependency of the product workflow, independently analyze product, apply best practices, and impart training on various modules. Design, install, configure, troubleshoot CI/CD pipelines. Use Software Design & Development knowledge to develop code as per specifications, understand and follow engineering practices, take technical responsibility for all stages in the software development process, review processes. Use UX Knowledge to understand UI design and its implication on product design/development and improve product usability across users, provide necessary inputs to design team. Knowledge Examples Domain/Industry Knowledge: working knowledge of standard business processes within the relevant industry vertical, customer business domain. Product Design: working knowledge of product architecture elements such as client‑server/SOA based, configuration parameters. Product Features/Functionality: working knowledge of the product. Knowledge of Config/Build/Deploy processes and tools. Knowledge of IAAS – Cloud providers (AWS, Azure, Google, etc.) and their tool sets. Knowledge of the application development lifecycle agile and waterfall. Knowledge of Quality Assurance processes. Knowledge of Quality Automation processes & tools. User Experience Knowledge: basic knowledge of aspects that enhance product/systems usability and improve overall user experience. #J-18808-Ljbffr