- Thinkahead
- United States,
- Full-Time
- 7 days ago
Software Engineering Manager – Foundry.
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Software Engineering Manager – Foundry: our view in 3 lines...
- The Role:This role leads a software engineering team building an ERP application that supports infrastructure engineering, operations, and delivery workflows.
- The Person:The person will lead and develop the engineering team, guide technical decisions, own delivery, partner with stakeholders, and establish development processes and responsible AI-assisted workflows.
- Requirements:The ideal candidate has software development and team management experience, with knowledge of testing, CI/CD, code review, Agile methodologies, Elixir/Phoenix or similar stacks, REST and GraphQL APIs, database design, and cloud infrastructure.
About the role
Duties/Responsibilities
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Team Leadership: Lead, mentor, and grow a team of software engineers building Signal, the software that drives Foundry.
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Global Collaboration: Lead a globally distributed team, collaborating closely with developers based in both the US and India.
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Career Development: Conduct regular 1:1s, provide feedback, and support career development for team members.
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Hiring and Onboarding: Participate in hiring efforts, including sourcing, interviewing, and onboarding new engineers, hiring and developing for judgment, product sense, and verification skills rather than raw output.
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Team Culture: Foster a healthy team culture built on collaboration, accountability, and continuous improvement.
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Stakeholder Partnership: Partner with product management and business stakeholders to translate requirements into actionable development plans.
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Delivery Ownership: Own delivery timelines and ensure the team ships high-quality software on schedule.
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Technical Guidance: Guide technical discussions and help the team make sound architectural decisions.
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Removing Obstacles: Remove obstacles and shield the team from distractions so they can focus on building.
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Development Process: Establish and refine development processes and AI-assisted workflows, balancing agility with predictability.
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AI Leadership: Champion fluent, responsible use of AI tools and coding agents as a force multiplier, so the team delivers faster while staying firmly accountable for review, testing, quality, and security.
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AI Workflows and Standards: Shape the team’s AI workflows, tooling, and standards, and keep improving them as the landscape shifts.
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Cross-Functional Collaboration: Collaborate cross-functionally with operations, customer success, and other engineering teams.
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Technical Engagement: Stay close enough to the codebase, and to how the team works with AI, to give meaningful input during code reviews and technical planning.
Education and Experience
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Minimum Required – 5+ years of experience in software development, with at least 2 years in a management or team-lead role.
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Preferred – 8+ years of experience in software development, with 3+ years managing teams building web applications and experience in manufacturing, supply chain, or ERP systems.
Knowledge, Skills, Abilities
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Programming Languages and Technologies: Experience managing teams building web applications, ideally in Elixir/Phoenix or similar modern stacks, with the ability to provide meaningful technical guidance.
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AI-Assisted Development: Fluency with modern AI development tools, and a clear point of view on how they change the way teams build, hire, and measure impact.
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Development Practices: Strong understanding of software development practices, including testing, CI/CD, code review, and Agile methodologies.
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People Management: Proven ability to hire, develop, and retain strong engineering talent, with a genuine interest in the growth and well-being of the people you manage.
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Delivery Management: Experience managing delivery across multiple products or initiatives simultaneously.
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Trust and Collaboration: A track record of building trust with both the team and cross-functional partners.
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Communication: Excellent communication skills, with the ability to translate between technical and non-technical audiences.
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Adaptability: Comfort with ambiguity and the ability to make decisions with incomplete information.
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APIs and Infrastructure: Familiarity with REST and GraphQL APIs, database design, and cloud infrastructure is a plus.
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Domain Knowledge: Experience in manufacturing or supply chain is a plus.

