48 Smarsh Data Jobs Hiring Near You

• 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.

• 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.