Greylock Partners

About the Company

We are the first partner for founders. Over 80% of our investments are the first check: Pre-Seed, Seed, or Series A. Many start on a whiteboard. Focused on AI-first companies. We partner selectively, care deeply, and strive for excellence.

We back founders who are building disruptive enterprise and consumer software companies such as: Airbnb (Nasdaq: ABNB), Abnormal Security, Adept AI, AppDynamics, Arista Networks (NYSE: ANET), CATO Networks, Coinbase (Nasdaq: COIN), Discord, Dropbox (Nasdaq: DBX), Figma, Inflection, Instabase, LinkedIn, Meta (Nasdaq: Meta), Nextdoor (NYSE: KIND), Okta (Nasdaq: OKTA), Palo Alto Networks (NYSE: PANW), Roblox (NYSE: RBLX), Rubrik, and Workday (NYSE: WDAY).

Listed Jobs

Company Name

Greylock Partners

Job Title

Machine Learning Infrastructure Engineers (Multiple Opportunities)

Job Description

Job Title: Machine Learning Infrastructure Engineer Role Summary: Design, build, and operate scalable, reliable infrastructure to support machine learning workloads across multiple startup investments. Expectations: 3+ years of industry experience in ML infrastructure or AI engineering; ability to collaborate with data science and product teams; strong background in distributed systems and cloud platforms. Key Responsibilities: • Architect and maintain production-grade ML pipelines (data ingestion, preprocessing, model training, inference). • Design and deploy scalable, fault‑tolerant compute and storage solutions (containers, Kubernetes, GPU clusters, object storage). • Automate CI/CD for ML workflows, including model versioning, testing, and rollout. • Monitor performance, resource utilization, and reliability; implement metrics, alerts, and tuning. • Collaborate with security, compliance, and operations teams to enforce best practices. • Optimize cost and performance for large‑scale ML workloads. Required Skills: • Proficiency in distributed systems concepts (networking, fault tolerance, load balancing). • Hands‑on experience with cloud providers (AWS, GCP, Azure) and container orchestration (Kubernetes). • Comfortable with infrastructure-as-code (Terraform, CloudFormation, Pulumi). • Scripting/automation skills (Python, Bash, Go). • Knowledge of ML frameworks (TensorFlow, PyTorch, MLflow) and data pipelines (Spark, Beam). • Familiarity with monitoring/observability tools (Prometheus, Grafana, ELK). • Strong debugging and troubleshooting abilities. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. • Valid certifications such as AWS Certified Solutions Architect, GCP Professional Cloud Architect, or similar are a plus.

San francisco bay, United states

Hybrid

Junior

18-11-2025

Company Name

Greylock Partners

Job Title

Founding Machine Learning Engineer

Job Description

**Job Title** Founding Machine Learning Engineer **Role Summary** Design, develop, and own the full end‑to‑end machine learning lifecycle for a first‑of‑its‑kind cybersecurity solution. Convert research‑grade experiments into stable, reproducible, production‑ready models running on cloud platforms (GCP/AWS). **Expectations** - Full ownership of model development, training pipelines, and deployment. - Deliver repeatable, enterprise‑ready ML workflows that can scale across distributed resources. - Work cross‑functionally with data, infra, and security teams to translate research into product. **Key Responsibilities** 1. Architect and implement ML pipelines from scratch (data prep, distributed training, inference). 2. Design, train, and evaluate large‑scale LLMs on complex datasets. 3. Build experiment tracking, hyperparameter optimization, and metric dashboards. 4. Optimize compute usage and cost on cloud platforms (GCP/AWS). 5. Ensure reproducibility and robustness of models; prepare for deployment and monitoring. 6. Collaborate with security, product, and infra teams to integrate ML into the overall solution. **Required Skills** - Deep expertise in cloud ML services (GCP AI Platform, AWS SageMaker, or equivalent). - Proficiency in MLOps: CI/CD, model versioning, containerization, and orchestration (K8s, Airflow). - Experience training and deploying large‑scale LLMs in production. - Strong background in distributed training, data preprocessing, and experiment tracking tools (MLflow, SageMaker Pipelines, etc.). - Ability to conduct systematic hyperparameter tuning and performance evaluation. - Excellent cross‑functional communication and zero‑to‑one product development experience. **Required Education & Certifications** - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Data Science, or related field. - 4+ years of industry experience in ML engineering, with at least 1 year of LLM production experience. - Relevant cloud certifications (AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, etc.) preferred.

Redwood city, United states

Hybrid

Junior

18-11-2025

Company Name

Greylock Partners

Job Title

Sr. Product Manager, Consumer (Social Good)

Job Description

**Job Title** Sr. Product Manager, Consumer (Social Good) **Role Summary** Lead the growth engine and marketplace development for a mission‑driven self‑directed health app. Own user acquisition, retention, and monetization funnels, drive 0‑to‑1 product launches, and embed AI to enhance personalization across mobile and web. **Expectations** - Deliver a data‑driven growth roadmap, achieving measurable increases in acquisition, activation, engagement, and subscription LTV. - Own end‑to‑end product ownership for strategic initiatives, from research to launch and iteration. - Build a culture of rigorous experimentation and rapid iteration. - Collaborate tightly with Engineering, Design, Marketing, and Operations to ship high‑quality features on time. **Key Responsibilities** 1. Define and execute growth strategy: optimize acquisition, activation, retention, and monetization pipelines. 2. Lead marketplace & commerce product development: discovery, conversion, checkout, and post‑purchase experience. 3. Design and run A/B tests and experiments across the funnel, driving conversion improvements. 4. Optimize subscription product: pricing, paywalls, churn reduction, and LTV maximization. 5. Drive AI product strategy: chat‑bot guidance, agentic buying, personalization, and discovery. 6. Set KPIs, build dashboards, and analyze cohort data to inform product decisions. 7. Conduct qualitative and quantitative user research to identify pain points and growth opportunities. 8. Partner cross‑functionally to align priorities, trade‑offs, and rapid delivery. **Required Skills** - Proven product management experience in e‑commerce/marketplace environments. - Strong growth mindset: experimentation, funnel optimization, KPI definition. - Expertise in A/B testing, analytics tools (Mixpanel, Amplitude, etc.), and cohort analysis. - Experience with subscription and pricing strategies. - Familiarity with AI/ML features and product integration. - Excellent stakeholder management, cross‑functional collaboration, and rapid iteration skills. - Bonus: experience with Svelte or willingness to learn. **Required Education & Certifications** - Bachelor’s degree in Business, Computer Science, Engineering, or related field. - MBA or certified Product Manager (e.g., AIPMM, Pragmatic Institute) preferred.

Los angeles, United states

Hybrid

06-01-2026

Company Name

Greylock Partners

Job Title

Founding Research Scientist (MARL)

Job Description

**Job title** Founding Research Scientist (MARL) **Role summary** Lead the research and production of multi‑agent reinforcement learning (MARL) models to optimize consumer pricing and enterprise system performance. Drive end‑to‑end development from research to scalable deployment, collaborating with cross‑functional teams to integrate feedback from objective functions into a complex multi‑agent ecosystem. **Expectations** - Deliver state‑of‑the‑art MARL solutions that transition from research to production within a fast‑moving startup environment. - Demonstrate ownership and initiative in 0→1 product development, proving models in real‑world settings. - Maintain a continuous feedback loop between model outputs and business metrics, ensuring alignment with pricing objectives. **Key responsibilities** 1. Design, train, and evaluate MARL algorithms for dynamic pricing and enterprise system coordination. 2. Translate advanced research findings into production‑ready code, ensuring robustness, scalability, and maintainability. 3. Collaborate with data, product, and engineering teams to integrate MARL models into existing pipelines and user interfaces. 4. Monitor model performance, conduct root‑cause analyses, and iterate on architecture and hyper‑parameters. 5. Publish technical reports, present findings to stakeholders, and contribute to the broader research community. 6. Mentor junior researchers and engineers in MARL best practices. **Required skills** - Expertise in reinforcement learning, particularly multi‑agent systems. - Strong background in machine learning frameworks (TensorFlow, PyTorch, etc.) and distributed training. - Proven ability to deploy research‑level models to production environments. - Proficiency in programming (Python, C++/Java optional). - Excellent analytical, problem‑solving, and communication skills. **Required education & certifications** - Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics, or related technical field. - Minimum 4 years of industry experience in applied research or ML engineering. ---

San francisco, United states

Hybrid

Junior

06-01-2026