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About the Role

Efficient is developing the world’s most energy-efficient general-purpose computer processor. This role is critical to customer adoption and long-term ecosystem growth, translating Efficient’s hardware capabilities into a scalable, developer-ready platform that enables customers to build, optimize, and deploy applications efficiently.

Responsibilities

• Define the product roadmap for the compiler, SDK, runtime, model conversion and enablement tooling, and developer platform.
• Set priorities based on customer requirements, competitive positioning, and strategic platform needs.
• Lead framework and model enablement strategy across PyTorch, ONNX, ExecuTorch, LiteRT, and future runtimes.
• Drive reduction in time-to-first-working-application (TTFWA) across customer segments.
• Establish SDK governance: surface area, versioning, API stability commitments, and deprecation policy.
• Define release quality criteria, validation expectations, and backward compatibility standards.
• Drive developer confidence through reproducible benchmarking, deterministic tooling behavior, clear diagnostics, and strong documentation.
• Participate in customer engagements to understand workflow friction, deployment blockers, and framework requirements.
• Represent software platform strategy in technical customer discussions and ecosystem partnerships.
• Gather and prioritize developer feedback across evaluation, onboarding, optimization, and deployment phases.
• Maintain structured mechanisms to feed developer feedback directly into roadmap decisions.
• Partner with Applications Engineering to define software platform capabilities for production-quality reference applications and customer evaluation flows.
• Define requirements for profiling, debugging, and performance analysis workflows.
• Balance long-term platform investments against near-term customer enablement and revenue-driving requirements.
• Influence silicon decisions based on software needs and constraints.
• Partner with the Hardware PM and architecture team when compiler or runtime requirements have silicon implications.
• Establish and own developer success metrics and developer workflow metrics and diagnostics.
• Define and own the SDK release cadence, packaging, distribution, and support lifecycle.

Requirements

• 7+ years of product management experience for developer-facing software platforms - SDKs, compilers, runtimes, APIs, ML tooling, or embedded developer ecosystems
• Experience shipping tools and platforms used directly by external developers, including operating through the customer-zero phase
• Demonstrated ownership of developer adoption, onboarding success, workflow completion, or related developer productivity metrics
• Strong understanding of modern ML inference and deployment pipelines (PyTorch, ONNX, ExecuTorch, LiteRT (formerly TensorFlow Lite), TensorRT, or equivalent)
• Experience translating customer workflows and technical constraints into actionable product requirements that engineering can build from without ambiguity
• Familiarity with software performance tradeoffs involving memory, latency, throughput, power, and hardware utilization
• Ability to work effectively with compiler, runtime, systems software, and silicon architecture teams and to influence without authority across all of them
• Ability to establish credibility with highly technical developers, compiler engineers, and ML practitioners through clear thinking, technical depth, and strong customer empathy.
• Experience with compiler toolchains, IRs, and deployment flows (LLVM, MLIR, TOSA, XLA, or equivalent)
• Experience with embedded AI deployment pipelines and edge inference workflows
• Experience at a semiconductor or AI hardware company building developer tools for a novel architecture
• Familiarity with embedded software ecosystems (FreeRTOS, CMSIS-NN, MCU SDK patterns) and Linux-based embedded development environments and cross-compilation workflows
• Experience with performance profiling tools, compiler traces, and benchmark-driven optimization workflows
• Experience with benchmarking methodologies (MLPerf or equivalent)
• Experience operating in early-stage environments with incomplete requirements and rapidly evolving architectures
• Experience in startup environments with hybrid PM + DevRel responsibilities

Skills

• PyTorch
• ONNX
• ExecuTorch
• LiteRT
• TensorRT
• LLVM
• MLIR
• TOSA
• XLA
• FreeRTOS
• CMSIS-NN
• MCU SDK patterns
• Linux
• MLPerf

Experience Level

• 7+ years of product management experience

Salary/Compensations

• $160,000 to $210,000

Benefits

• Meaningful equity
• Comprehensive benefits
• 401K match
• Company-paid benefits
• Equity program
• Paid parental leave
• Flexibility

About the Company

• Efficient is developing the world’s most energy-efficient general-purpose computer processor.
• Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks.
• This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years.
• Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution.