Key Responsibilities

Lead & Scale Engineering Teams

• Build and grow high-performing engineering teams across multiple disciplines (frontend/IDE, backend/platform, ML/AI, devtools).
• Establish and reinforce a strong, collaborative, high-performance culture.
• Recruit, develop, and retain top engineering talent; mentor technical leads and future managers.

Stay Technically Engaged

• Maintain technical credibility in modern SaaS, cloud-native, and AI/ML stacks.
• Participate in design and architecture reviews to ensure sound technical decision-making.
• Champion best practices for testing, modularity, documentation, and performance.

Drive Product & Business Alignment

• Partner closely with Product Management and business teams to shape roadmaps and ensure engineering delivery maps to customer and market needs.
• Translate product strategy into executable engineering plans with measurable outcomes.
• Balance technical innovation with business priorities and time-to-market pressures.

Own End-to-End Delivery

• Drive delivery across value streams: from roadmap planning and design through execution, launch, and adoption.
• Ensure scalability, reliability, and security are built into the product from day one.
• Foster engineering excellence and accountability across teams.

Bridge Technical & Cross-Functional Teams

• Collaborate with AI scientists, chip engineers, and product leaders to deliver cohesive solutions.
• Act as a key communication link between engineering execution and business strategy.
• Define engineering rituals, metrics, and collaboration practices that improve alignment across functions.

Ideal Experience

• Proven leadership experience (Sr. Manager, Director, or equivalent) leading teams of 15+ cross-disciplinary engineers, with demonstrated ability to scale organizations.
• 10+ years of professional experience, including progression from hands-on engineer → tech lead → organizational leadership.
• Technical awareness and credibility in modern software stacks (cloud-native, AI/ML, SaaS), even if not coding daily.
• Strong track record in end-to-end product delivery, including aligning engineering with product and business strategy.
• Excellent people leadership skills: hiring, mentoring, and developing engineers and technical leaders.
• Strong collaboration and communication skills; effective working across engineering, product, and business stakeholders.
• Prior experience in enterprise SaaS, developer tools, or AI/ML infrastructure is strongly preferred.

What We Offer

• A pivotal role in shaping Cognichip’s core product and technical execution from the US HQ.
• Direct partnership with Product Management, business leadership, and cross-disciplinary engineering leaders.
• Work at the intersection of AI, semiconductors, and developer tools, solving technically challenging and high-impact problems.
• Competitive compensation package, including early-stage equity in a fast-growing AI startup.
• A high-trust, low-ego team culture that values ownership, curiosity, and collaboration.

Level

We are targeting candidates who are currently at the Director level for this role. However, if you are a Sr. Manager with proven experience as outlined in the “Ideal Experience” section and are ready to take the next step, we encourage you to apply.