Smarsh

Sr. Technical Product Manager

Posted Yesterday

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Hiring Remotely in US

Remote

160K-180K Annually

Senior level

Software

The Role

Lead strategy, development, and commercialization of AI-powered features within a compliance and data archival platform. Define product vision and roadmap, translate technical requirements into prioritized backlogs, collaborate with engineering and stakeholders, measure product success, and drive adoption and lifecycle management of developer-facing infrastructure and AI solutions.

Summary Generated by Built In

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.

Skills Required

7+ years of experience in product management with developer-focused products (APIs, infrastructure, platform services).
At least 1 year leading AI, ML, or data products and taking AI solutions from concept to scale.
Strong technical background with hands-on experience in software engineering, SRE, or infrastructure/cloud architecture.
Ability to lead technical discussions on system design, APIs, and database architecture; evaluate AI/ML approaches and trade-offs.
Deep knowledge of public cloud ecosystems, particularly AWS and services like RDS, S3, DynamoDB, Kinesis, IAM.
Excellent communication skills to articulate vision and technical concepts to technical and non-technical audiences.
Bachelor's degree in Computer Science, Engineering, Business, or related field, or equivalent professional experience.
Executive communication experience engaging and influencing senior leadership.
AWS certifications (e.g., Solutions Architect) and advanced AWS expertise.
Experience delivering enterprise-grade products in high-growth environments.
Experience collaborating across global teams and time zones.
Demonstrated strategic execution and ability to manage competing priorities.

Smarsh Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Smarsh and has not been reviewed or approved by Smarsh.

Leave & Time Off Breadth — Time off is characterized by unlimited PTO, generous vacation allowances, and paid holidays, with policies that support taking time away. These elements are positioned as a core strength that helps balance lower base pay in some roles.
Wellbeing & Lifestyle Benefits — Perks include wellness programs, commuter and bike reimbursement, volunteer time off, peer recognition, remote-work support, and a sabbatical option. The variety of non-salary benefits contributes to a supportive work-life environment.
Retirement Support — A 401(k) with employer match and profit sharing is offered, with immediate vesting described for the match. This strengthens the long-term financial component of total rewards.