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Sr. Technical Product Manager

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Smarsh
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    IT Project Manager, Product Designer
Salary/Wage Range or Industry Benchmark: 160000 - 180000 USD Yearly USD 160000.00 180000.00 YEAR
Job Description & How to Apply Below

Our Mission

Our mission is to build the definitive engineering platform that accelerates developer innovation. We empower our teams by providing them with intelligent, scalable, and self-service tools, enabling them to build the future without being constrained by infrastructure complexity.

About the Role

Smarsh is seeking a Technical AI Product Manager to lead the strategy, development, and commercialization of AI-powered solutions within our compliance and data archival platform. This role combines deep product expertise with AI/ML fluency to drive innovation, build differentiated capabilities, and accelerate market adoption of intelligent features that help our enterprise customers manage risk and ensure regulatory compliance.

Your mission is to create a world-class, seamless experience for our developers, enabling them to provision, manage, and scale their application backends with speed and confidence. You will blend deep technical expertise with a strong sense of product ownership to define the future of how our company handles data at scale, directly influencing the productivity and innovation of hundreds of engineers.

What

You’ll Do
  • Own the Vision and Strategy: Define and deliver on a multi-year vision for our portfolio of workload assets. You will develop a clear product strategy and roadmap that aligns with the broader goals of the engineering organization.

  • Be the Voice of the Developer: Act as the primary liaison between the Product team and our engineering team. Translate high level business objectives into actionable technical roadmaps, anticipate risks and develop mitigation strategies, and closely work with Iteration Manager to align delivery cadences.

  • Drive the

    Roadmap:

    Translate complex technical requirements and user needs into a prioritized backlog of clear user stories, epics, and product specifications. You will work within an agile environment to ensure a steady flow of value to our customers.

  • Serve as a Product Evangelist: Champion the platform’s vision and services across the organization. Drive adoption and enablement by working with developers to create clear documentation, best practices, and training materials.

  • Manage the Asset Lifecycle: Oversee the entire lifecycle of our workload assets—from evaluating new technologies and market trends to managing versions and planning the graceful deprecation of legacy systems.

  • Analyse and Measure: Define and analyse metrics that measure the success of your products, including developer satisfaction, reliability, performance, and total cost of ownership. Use this data to inform your product strategy.

  • AI Transformation: Build the business case for ongoing investment in AI, monitoring unit economics, leading cross-functional collaboration with AI/ML engineers and delivering AI solutions.

  • Lead Through Influence: Collaborate closely with key stakeholders in security, compliance, finance, and application development to ensure our workload assets are secure, cost-effective, and aligned with business goals.

What You’ll Bring
  • 7+ years of experience in product management, with a proven track record of building and delivering products for developers (e.g., APIs, infrastructure, platform services) with at least 1-year leading AI, ML or data products. Experience taking AI solutions from concept through scale is essential.

  • A strong technical background with hands-on experience in software engineering, SRE, or infrastructure/cloud architecture. You are comfortable leading technical discussions on topics like system design, APIs, and database architecture. Strong technical acumen with ability to evaluate AI/ML approaches, assess feasibility, discuss trade-offs with data scientists and engineers, and make informed trade-off decisions. Can engage…

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