Sr. Technical Product Manager

Smarsh

1d • $160,000 - $180,000

About The Position

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.

Requirements

• 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)
• 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.
• 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.
• 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.

Nice To Haves

• Demonstrated experience engaging with and influencing senior leadership.
• Deep familiarity with AWS services, architectures, and pricing models.
• AWS certifications (e.g., Solutions Architect) are highly desired.
• Proven ability to deliver enterprise-grade products and services in a fast-paced, high-growth environment where continuous innovation is expected.
• Adept at fostering strong working relationships with colleagues and stakeholders across multiple locations and time zones.
• Ability to think strategically and execute methodically, managing multiple competing priorities with precision and adapting to dynamically changing circumstances.

Responsibilities

• Define and deliver on a multi-year vision for our portfolio of workload assets.
• Develop a clear product strategy and roadmap that aligns with the broader goals of the engineering organization.
• 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.
• Translate complex technical requirements and user needs into a prioritized backlog of clear user stories, epics, and product specifications.
• Work within an agile environment to ensure a steady flow of value to our customers.
• 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.
• 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.
• 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.
• Build the business case for ongoing investment in AI, monitoring unit economics, leading cross-functional collaboration with AI/ML engineers and delivering AI solutions.
• 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.

Benefits

• Any applicable bonus programs will be discussed during the recruiting process.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior