Technical Project Manager

About DevSavant

DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution.

We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors.

With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone.

About the Role

We are seeking a Technical Project Manager who will own both the product vision (what and why) and the execution strategy (how and when) of our applied engineering initiatives. This role is ideal for a startup-minded professional who thrives in fast-paced environments, is comfortable wearing multiple hats, and can balance strategic product thinking with hands-on delivery management.

This is not a purely operational project role nor a purely strategic product role. Instead, the focus is on driving impact by ensuring we build the right solutions and deliver them efficiently. The Technical Project Manager will work closely with the Director of Applied Engineering/Tech Lead and a lean engineering team to maximize product value and execution excellence.

Key Responsibilities

Product Management (50%)

• Own and maintain the product roadmap, ensuring alignment with company vision and strategic objectives.

• Gather and synthesize requirements from leadership, customers, and internal stakeholders.

• Own and manage the product backlog, including writing clear user stories, defining acceptance criteria, and prioritizing initiatives.

• Translate business needs into actionable technical features and product enhancements.

• Monitor product adoption, collect feedback, and track success metrics to inform continuous improvement.

• Ensure product decisions balance user value, technical feasibility, and business impact.

Project Management (50%)

• Lead day-to-day agile execution, including standups, sprint planning, backlog refinement, and retrospectives.

• Ensure the backlog remains organized, realistic, and aligned with team capacity.

• Track milestones, dependencies, risks, and overall project progress.

• Proactively identify and resolve blockers to maintain delivery momentum.

• Coordinate across engineering, design, and leadership to ensure alignment and execution clarity.

• Provide structured updates on timelines, delivery health, risks, and mitigation plans.

• Drive accountability and ensure initiatives are delivered on time and at high quality.

Required Experience and Skills

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• 5–7+ years of experience in Product Management, Project Management, or hybrid product-delivery roles.

• Strong experience working with technical teams (engineering, architecture, data).

• Proven experience with Agile/Scrum/Kanban methodologies and tools such as Jira, Linear, or Notion.

• Technical fluency, with the ability to understand system architecture, APIs, and technical trade-offs (engineering background not required).

• Experience working on AI-related projects and utilizing different models in day-to-day operations.

• Excellent communication, stakeholder management, and facilitation skills.

• Advanced English proficiency (C1 level or higher).

• Self-starter with a “go-getter” mentality — proactively resolves blockers rather than waiting for external direction.

Nice to Have

• Experience managing fast-paced product deliveries from concept to market launch.

• Strong technical depth, comfortable discussing APIs, architecture decisions, and system trade-offs.

• Previous startup experience or background in SaaS, AI, or software product environments.

• Demonstrated ability to balance strategic planning with execution in resource-constrained environments.

• Track record of delivering high-impact products under ambiguity and evolving priorities.