Senior Product Manager, Software & Developer Platform

Responsibilities

• Software release train. Own the monthly SDK release and quarterly major releases: contents, release sync, go/no-go, release notes, and customer communications.
• Pattern coverage roadmap. Decide which graph patterns CGC compiles next — attention variants, quantization schemes, normalization patterns — and sequence them against customer model requirements each quarter.
• Market-driven demo strategy. Lead with the market story and push it through every layer: demo, model zoo, pattern coverage, compiler work. Own what we publish and when.
• Customer engagement. Present in technical reviews with anchor customers. Convert model gap lists into engineering-ready roadmap entries.
• Quantization and numerics. Own the roadmap for INT4 (W4A8/W4A16), FP8, OCP MX, and KV cache compression. Coordinate with HW PM on MAC capability and with customer SW teams on model format decisions ahead of silicon tape-out.
• Framework and runtime integrations. Define the integration strategy for GGML/llama.cpp, vLLM, ONNX Runtime, ExecuTorch, and HF Optimum — deep partnership vs. thin reference.
• Model zoo. Maintain a set of customer-confidence models (LLM chat, BEVFormer, VLA, ADAS perception) that serve as forcing functions for compiler completeness.
• Quarterly roadmap tours. Take the roadmap to anchor customers, prospects, and the field. Brief the PMM monthly on what shipped and how to position it.
• Competitive intelligence. Track Synopsys MetaWare, Arm KleidiAI, Ceva NeuPro Studio, and NVIDIA TensorRT-LLM. Brief exec and sales quarterly.
• Safety and quality. Coordinate with the safety lead on ISO 26262 traceability and qualification artifacts.

Requirements

• Shipped product on at least one of: NPU or AI accelerator IP/silicon stack; graph or ML compiler (TVM, MLIR, XLA, or proprietary); developer-facing AI inference runtime or agent framework.
• Modern AI workload fluency — ready conversation, no prep, on: agentic workflows and LLM serving, KV cache optimization, quantization schemes (AWQ, GPTQ, SmoothQuant, QAT vs. PTQ), datatypes (INT4, FP8, BF16, OCP MX), and inference platforms (vLLM, llama.cpp, TensorRT-LLM, ExecuTorch, ORT).
• Shipping bar — shipped a developer-facing AI or compute product — SDK, runtime, compiler, or inference service — with real users and a release cadence you owned.
• Agent-pilled — use agentic AI tools daily (Claude Code, Cursor, or equivalent) to produce work.
• Customer first — take the workable thing every time when engineering wants to build the elegant thing and the customer needs the workable thing.
• 5+ years in PM, with 3+ years on a developer-facing AI/ML or compute platform.
• Owned a release cadence — picked what ships, what slips, and defended the call.
• Experience with in-person technical customer reviews.
• Bay Area resident or willing to relocate to Burlingame.
• ML background: graduate degree, published work, trained model, or OSS contribution.
• Automotive Tier 1 engagement; ISO 26262 awareness.
• Prior product work on a competing NPU/GPU/AI accelerator stack (MetaWare, Arm ML, Ceva, TensorRT, Hailo, Tenstorrent, etc.).
• OSS contributions to vLLM, llama.cpp, TVM, MLIR, ONNX Runtime, or ExecuTorch.

Qualifications

The base salary range for this position is $200,000 to $250,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location.

Benefits

• Competitive salary and meaningful equity
• Medical, dental, and vision plan options starting on day one
• 401(k) retirement plan
• Flexible paid time off (unlimited, non-accrual)
• Company-provided lunches and a stocked kitchen
• Downtown Burlingame office, walking distance from Caltrain