Menlo Ventures

About the Company

Menlo Ventures is a venture capital firm that strives to have a positive impact on everything we do. That's why we support businesses--including Abnormal Security, Benchling, Carta, Chime, Harness, Pinecone, Roku, Rover, Siri, and Uber--that are reimagining life and work for the better. Over 47 years, we've grown a portfolio that includes more than 80 public companies, over 165 mergers and acquisitions, and $5.8 billion under management. We invest at every stage and in every sector, with expertise in consumer, enterprise, and healthcare. From developing market strategies to creating communities, we provide real impact where entrepreneurs need it most. When we're in, we're ALL IN.

Listed Jobs

Company Name

Menlo Ventures

Job Title

Technical Program Manager, Data Center Infrastructure

Job Description

**Job title:** Technical Program Manager, Data Center Infrastructure **Role Summary:** Lead end‑to‑end construction and commissioning of data center sites, coordinating cross‑functional teams, external contractors, and vendors to deliver buildings on schedule and ready for production workloads. **Expectations:** - 7+ years in data‑center construction, operations, or program management at hyperscale/critical infrastructure firms. - Demonstrated experience building and leading technical program management teams. - Proven track record managing multi‑site infrastructure programs with compressed timelines and complex dependencies. - Ability to communicate complex status to executive leadership and make decisions under uncertainty. **Key Responsibilities:** - Build and manage the DC infrastructure TPM function; hire, coach, and scale the team. - Own program status reports, risk registers, and mitigation plans; present to executive stakeholders. - Drive construction‑to‑production execution across multiple sites, coordinating partners, contractors, and internal teams. - Manage long‑lead procurement, vendor accountability, and schedule tracking for equipment delivery and commercial milestones. - Partner with Data Center, Compute, Infrastructure, Security, and Compliance teams to define handover criteria and site‑specific requirements. - Support site selection and due diligence aligned with energy and location strategy. - Develop repeatable playbooks and processes that scale across concurrent site deployments. - Travel to sites (≈20 %) to validate progress and strengthen contractor relationships. **Required Skills:** - Advanced program and project management, including risk and schedule management. - Strong leadership, team building, and multi‑stakeholder alignment. - Experience navigating global supply chains and long‑lead procurement. - Excellent written and verbal communication for technical and executive audiences. - Comfort working in ambiguous, high‑pressure environments. - Knowledge of data‑center energy efficiency, security, and compliance frameworks. **Required Education & Certifications:** - Bachelor’s degree in engineering, computer science, or related field, or equivalent experience. - Professional certifications such as PMP, PgMP, or equivalent program management credentials are preferred.

San francisco, United states

On site

Senior

21-12-2025

Company Name

Menlo Ventures

Job Title

Software Engineer - GenAI inference

Job Description

Job title: Software Engineer – GenAI Inference Role Summary: Design, develop, and optimize the inference engine for large‑scale language models, ensuring low latency, high throughput, and efficient GPU/hardware utilization across distributed systems. Expactations: Deliver production‑ready inference solutions, collaborate with research teams to integrate novel model features, and maintain reliability, reproducibility, and fault tolerance in model serving pipelines. Key Responsibilities: - Architect and implement inference engine components (kernels, runtimes, orchestration). - Integrate new model architectures/features (sparsity, activation compression, MoE) into the serving stack. - Optimize latency, throughput, memory efficiency, and GPU/accelerator utilization. - Develop instrumentation, profiling, and tracing tools to identify and eliminate performance bottlenecks. - Build scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms. - Support reliability and fault tolerance: A/B testing, rollback, model versioning. - Orchestrate federated, distributed inference across nodes, balancing load and managing communication overhead. - Collaborate with platform, cloud infrastructure, and security/compliance teams. - Document solutions and contribute to internal best practices and open‑source initiatives. Required Skills: - 3+ years of software engineering in performance‑critical systems. - Deep understanding of ML inference internals (attention, MLPs, recurrent modules, quantization, sparsity). - Proficiency with CUDA and GPU programming; experience with cuBLAS, cuDNN, NCCL, and related libraries. - Experience designing and operating distributed systems, including RPC, sharding, memory partitioning. - Demonstrated ability to diagnose and resolve performance bottlenecks across kernel, memory, networking, and scheduling layers. - Experience building instrumentation, tracing, and profiling tools for ML models. - Strong communication skills to work closely with ML researchers and translate new ideas into production systems. - Ownership mindset and willingness to tackle complex, deep system challenges. Required Education & Certifications: - BS, MS, or PhD in Computer Science or related field. - Valid certifications in relevant technologies preferred (e.g., NVIDIA CUDA Developer, distributed systems certificates).

San francisco, United states

On site

Junior

12-01-2026

Company Name

Menlo Ventures

Job Title

Full Stack, Enterprise Platform (High Seniority)

Job Description

Job title: Full Stack Enterprise Platform Engineer (Senior) Role Summary: Senior full‑stack engineer on the Application Platform team, responsible for designing, building, and operating foundation services that enable secure, compliant, and scalable applications for enterprise clients. Expectations: • Deliver end‑to‑end platform projects from concept to production. • Architect robust back‑end APIs and admin interfaces with enterprise‑grade performance. • Drive engineering best practices, code quality, and continuous improvement. • Mentor teammates and influence tooling and processes. Key Responsibilities: • Partner with product, design, and customer success to define requirements and ship large‑scale platform solutions. • Design and implement scalable, reliable back‑end services and public APIs. • Build intuitive admin UIs that grow with enterprise customer needs. • Integrate AI‑driven features where they add value. • Ensure system reliability through testing, monitoring, and performance tuning. • Lead technical reviews, code quality standards, and version‑control workflows. • Advocate for architectural decisions that enhance maintainability and scalability. • Mentor junior engineers and contribute to team growth and process improvement. Required Skills: • 8+ years in professional software engineering. • Strong coding proficiency (Go, Java, Node.js, or similar) and deep knowledge of software‑engineering fundamentals. • Proven experience designing scalable, high‑performance API‑driven services. • Front‑end and admin UI development expertise. • Expertise in testing, CI/CD, code reviews, and version‑control. • Strategic problem‑solving ability and comfortable with cross‑functional collaboration. • Excellent written and verbal communication. • Experience mentoring and leading high‑quality engineering teams. Required Education & Certifications: • Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. • No specific certifications required; relevant technical credentials (e.g., AWS Certified Developer, Google Cloud Professional Cloud Developer) considered a plus.

San francisco, United states

On site

Senior

16-01-2026

Company Name

Menlo Ventures

Job Title

Software Engineer IV

Job Description

**Job Title:** Software Engineer IV **Role Summary:** Design, develop, and maintain cloud‑hosted SaaS platform components using large‑scale distributed system principles. Lead architecture decisions, ensuring reliability, scalability, performance, and security. Collaborate with product managers, cross‑functional stakeholders, and peers to translate requirements into robust production‑grade solutions. Participate throughout the full SDLC, from design to monitoring and support, driving continuous improvement in an Agile environment. **Expectations:** - 2+ years of professional software engineering experience. - Minimum 1 year of proven work with an object‑oriented language (Java, Scala, JavaScript, C++, or Python). - At least 1 year of experience in each of the following areas (minimum 6 required): • Multithreading & asynchronous programming • Agile/Scrum methodologies • Open‑source & third‑party APIs • Microservices architectures • Unit & integration testing • Production service reliability, security, and scalability • Version control (Git, XCode, Visual Studio, IntelliJ) • Cloud platforms (AWS, Azure, or GCP) • Containerization (Docker, Kubernetes, or similar) • Databases (SQL, PostgreSQL, MongoDB, Cassandra) • Distributed & big‑data systems (Apache Spark, Hive, Hadoop) **Key Responsibilities:** - Architect and implement highly‑available, scalable, and secure services in a cloud environment. - Develop production‑grade code in Scala, Python, and/or JavaScript, integrating with cloud, open‑source, third‑party, and internal APIs. - Own end‑to‑end lifecycle: design, coding, testing, deployment, monitoring, and production support. - Design system interfaces and data flows that meet user experience and performance goals. - Participate in sprint planning, code reviews, and Agile ceremonies to drive product delivery. - Mentor junior engineers and contribute to engineering best practices and documentation. **Required Skills:** - Object‑oriented programming (Java, Scala, JavaScript, Python, or C++). - Distributed systems architecture (microservices, event‑driven design). - Cloud platform proficiency (AWS, Azure, or GCP). - Container orchestration (Docker, Kubernetes). - Database design and querying (SQL, NoSQL). - Big‑data processing (Apache Spark, Hive, Hadoop). - Continuous integration/continuous deployment (CI/CD). - Unit, integration, and performance testing. - Git‑based version control. - Agile/Scrum development experience. **Required Education & Certifications:** - Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Technology, or related field. - No mandatory certifications; relevant technical certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) considered a plus.

San francisco, United states

On site

Fresher

21-01-2026