Development Seed
Technical Project Lead
Huntsville, AL
Sponsorship not specifiedDetected 60 days ago
Code ReviewGitAWSMachine LearningData EngineeringProject ManagementStakeholder ManagementResearchLeadershipCommunicationCollaboration
About the role
- You'll bring real technical expertise and engineering leadership to cross-project coordination, stakeholder management, and project strategy.
- Engineering credibility is central to this role.
Responsibilities
- Lead coordination across a portfolio of NASA projects, working with program managers, project teams, and technical experts
- Own project scope, objectives, and timelines, and ensure teams have the resources and support to deliver
- Represent Development Seed in forums and meetings with NASA and partners, bringing technical credibility and our team's perspective
- Build trusted relationships with key stakeholders and proactively identify ways for us to better support them
- Work closely with other project leads to balance priorities across our NASA portfolio
- A strong technical background in software engineering, data engineering, or a related discipline, with hands-on experience building or leading technical systems
- Excellent communication and interpersonal skills, with the ability to build trust across complex stakeholder landscapes
- Ability to lead independently, make sound decisions with incomplete information, and bring the right people into the conversation
Requirements
- Significant experience in technical project or program management, ideally in environments where you stayed close to the engineering work
- Experience working on large-scale projects involving collaboration with government agencies, contractors, and cross-functional teams
- Experience with natural sciences, Earth observation, or research-oriented projects
Nice to have
- Familiarity with NASA programs, processes, or contracting environments
- Experience with cloud-native geospatial technologies (STAC, COG, Zarr, and other cloud-optimized data formats)
- Familiarity with organizations in the open geospatial ecosystem like Pangeo, 2i2c, Microsoft Planetary Computer, AWS Open Data, Google Earth Engine
- Activity in relevant open source communities and conferences like ESIP, IGARSS, FOSS4G, AGU, OSGeo
- Experience with ML/AI projects, particularly applied to Earth observation or geoscience data
- Experience implementing project management tooling and processes for distributed teams
- We care about the work and each other - sharing ideas, giving feedback, and investing in team growth
- Application review
Skills
- Our NASA work spans multiple projects and is expanding in scope.
Compensation
- Local to Huntsville Alabama, work schedule compatible with US Central or Eastern time zones, and attend key events like the AGU annual meeting
Company info
- collaborative, curious, open-source oriented, and motivated by impact.
- Being local to the Huntsville area is a requirement, as regular in-person time with our partners builds the kind of trust and credibility that's hard to replicate remotely.
- Development Seed is a unique and rewarding place to do this work.
- Over the past two decades, we have honed our approach to stewarding projects from opportunity to successful, impactful products.
- Our partners are working on exciting and important problems.
- Our technical teams are built of curious, empathetic people with high intrinsic motivation and individual agency.
- We're open-source by default, we invest heavily in research and development that drives the field, and we're regularly reinventing the nature of our work.
- This is a hybrid position with regular on-site presence at NASA Marshall Space Flight Center in Huntsville, Alabama, as regular in-person time with our NASA partners is valuable for building the kind of relationships that make this role work.
- You should have working hours compatible with US Central or Eastern time.
- You'll also attend key conferences and occasionally travel to work with our global team.
- What We're Looking For
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This listing is sourced directly from Development Seed's careers page and normalized into a canonical job model.