Product Manager - Spark

Jobgether; Schweiz; Remote; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Co-working support

Equity ownership

Technology allowance

Health coverage

Annual team off-sites

Flexible working arrangements

Professional development

Job summary

Jobgether is seeking a Product Manager for a Spark-based platform based in Switzerland to lead the strategy, roadmap, and growth of an AI-powered backend infra product. You will align with Engineering, Growth, and Finance to shape pricing and scalability across global teams.

The role emphasizes autonomy, remote collaboration, and delivering from prototype to production in a fully remote, open-source oriented environment.

Qualifications

• At least 5 years of Product Management experience in developer tools or infrastructure, or founder experience.
• Strong understanding of AI agent-driven development and backend needs for developers.

Responsibilities

• Own the product strategy and roadmap for Spark projects from MVP to GA.
• Make Spark seamless for AI agents and the platforms they run on, with available backend infrastructure.
• Define the user journey from experimentation to production, including provisioning and upgrades.
• Collaborate with Engineering, Growth, and Finance on packaging and pricing at scale.
• Engage with platform customers to understand requirements and identify Spark use cases.
• Establish success metrics and instrument the product end-to-end to guide prioritization.
• Continuously evaluate performance and user feedback for improvements.

Skills

Product management

Strategy

Roadmap planning

Stakeholder management

Remote collaboration

Job description

Our partner is looking for a Product Manager - Spark based in Switzerland.

We're looking for an experienced Product Manager to lead the development and growth of an innovative project type designed for the next generation of AI-powered software development. As AI agents create more applications, prototypes, and experiments, developers need backend infrastructure that is instantly available, cost-effective, and able to scale with their needs. In this role, you'll define the product strategy for Spark projects, making it easy for agents and the platforms they operate on to provision and use backend resources from the very beginning. You'll also shape the journey from early experimentation to production, helping projects evolve into larger, more capable workloads. Working across Product, Engineering, Growth, and Finance, you'll influence product experience, pricing, and long-term scalability. This is an opportunity to build a new product offering within a globally distributed, remote-first, open-source-oriented environment.

Accountabilities

• Own the product strategy and roadmap for Spark projects, guiding development from the initial MVP through general availability.

• Make Spark seamless for AI agents and the platforms they run on, ensuring backend infrastructure is available as soon as an idea or application is created.

• Define the user journey from experimentation to production, including how projects are claimed, upgraded, and expanded across the broader platform.

• Collaborate with Engineering, Growth, and Finance to develop packaging and pricing strategies that remain sustainable and economical at significant scale.

• Work closely with platform customers to understand their requirements, validate opportunities, and introduce Spark to relevant use cases.

• Establish clear success metrics, implement end-to-end product instrumentation, and use data and insights to guide prioritization and future development.

• Continuously evaluate product performance and user feedback to identify opportunities for improvement and growth.

Requirements:

• At least 5 years of Product Management experience in developer tools or infrastructure, or previous founder experience demonstrating strong product judgment and execution.

• A clear understanding of agent-driven development and how AI agents are changing the infrastructure and backend needs of developers and software platforms.

• Familiarity with AI evaluations, controlled experimentation, and data analysis, with the ability to use evidence to inform product decisions.

• A strong bias toward action, with a preference for shipping, learning, and iterating quickly rather than over-investing in detailed specifications.

• A hands-on approach to product development, including actively using the tools and products you manage to build informed opinions.

• Experience using AI tools to accelerate research, drafting, and feedback synthesis, while maintaining strong independent judgment.

• Excellent written communication and decision-making skills, with the ability to work asynchronously and document decisions clearly in a fully remote environment.

• Comfort operating in a fast-moving, evolving product environment that requires autonomy, adaptability, and close cross-functional collaboration.

Benefits:

• Fully remote work: Work from anywhere, with no requirement to attend a company office.

• Co-working support: Access to a WeWork membership or co-working allowance to support your preferred working environment.

• Equity ownership: Employee Stock Option Plan (ESOP), giving every team member an opportunity to share in the company's growth.

• Technology allowance: Budget to equip your workspace with the technology and tools you need, such as a laptop, monitor, or headphones.

• Health coverage: 100% of employee health insurance costs covered, along with 80% coverage for dependents, wherever you are.

• Annual team off-sites: Opportunities to meet colleagues in person through a week-long company gathering in a different city each year.

• Flexible working arrangements: An asynchronous work culture that gives you autonomy to manage your schedule and priorities.

• Professional development: Annual education allowance for courses, books, conferences, and other learning opportunities.