Sr. Technical Product Manager

Remote; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Smarsh is seeking a Technical AI Product Manager to lead AI-powered solutions within our compliance and data archival platform. You will shape strategy and roadmap, partnering with engineering to deliver scalable, developer-friendly features.

You will translate AI concepts into concrete product details, drive adoption with clear docs, and measure impact on reliability and cost of ownership for enterprise customers.

Qualifications

• 7+ years of product management experience building developer-focused products (APIs, infrastructure, platform services).
• Strong technical background with software engineering, SRE, or cloud infra knowledge.
• Deep knowledge of the public cloud, especially AWS (RDS, S3, DynamoDB, Kinesis, IAM).

Responsibilities

• Own the Vision and Strategy: define a multi-year vision and roadmap for workload assets.
• Be the Voice of the Developer: translate objectives into actionable tech roadmaps and manage delivery cadence.
• Drive the Roadmap: convert requirements into a prioritized backlog of user stories and epics.
• Serve as a Product Evangelist: drive adoption with documentation and training materials.
• Manage the Asset Lifecycle: oversee tech evolution and deprecation of legacy systems.
• Analyse and Measure: define metrics like developer satisfaction, reliability, cost, and performance.
• AI Transformation: build the business case for AI investments and collaborate with AI/ML teams.
• Lead Through Influence: align with security, compliance, finance and app teams.

Job description

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 in technical conversations without being a hands-on coder.

• Deep knowledge of the public cloud ecosystem, particularly AWS. You should have a firm grasp of services like RDS, S3, DynamoDB, Kinesis, IAM, and the trade-offs between them.

• Excellent communication skills, with the ability to articulate a compelling vision and articulate complex technical concepts to both technical and non-technical audiences.

• A deep understanding of the competitive landscape, both internal (existing solutions) and external (cloud provider offerings, open-source technologies), to make build-vs-buy decisions.

• A customer-obsessed mindset and a genuine passion for making developers' lives easier.

• Bachelor's degree in computer science, Engineering, Business, or related field, or equivalent professional experience.

Preferred Qualifications

• Executive Communication: Demonstrated experience engaging with and influencing senior leadership.

• Advanced AWS Expertise: Deep familiarity with AWS services, architectures, and pricing models. AWS certifications (e.g., Solutions Architect) are highly desired.

• Enterprise & High-Growth Experience: Proven ability to deliver enterprise-grade products and services in a fast-paced, high-growth environment where continuous innovation is expected.

• Global Collaboration: Adept at fostering strong working relationships with colleagues and stakeholders across multiple locations and time zones.

• Strategic Execution: Ability to think strategically and execute methodically, managing multiple competing priorities with precision and adapting to dynamically changing circumstances.