Pinecone

Full-stack Engineer

• Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on.
• Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it.
• Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount.
• Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster.
• Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time.
• Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong.

Senior Software Engineer, Experience Platform

Inside Sales

• Build & Lead the Commercial Inside Sales Team
• Hire, onboard, and develop high-caliber Commercial AEs and BDRs
• Coach reps on running credible discovery with engineering leaders and AI teams
• Elevate technical fluency across the team (LLMs, vector search, RAG, production AI workflows)
• Develop reps across full-cycle sales fundamentals: qualification, multi-threading, objection handling, and expansion
• Build a culture of accountability, curiosity, craftsmanship, and ownership
• Own Commercial Pipeline & Revenue
• Own pipeline creation and revenue targets for the commercial segment
• Ensure predictable top-of-funnel generation through outbound and PLG conversion
• Drive tight alignment between BDR pipeline creation and AE conversion
• Improve velocity from first meeting to close
• Identify expansion signals within startup and mid-market accounts
• Design outbound strategy for AI-native startups and traditional companies adopting AI
• Partner with marketing on high-intent inbound (developer signups, PQLs, content engagement)
• Create structured PQL follow-up motions that convert usage into revenue
• Continuously refine messaging to resonate with AI builders and platform teams
• Balance thoughtful outbound with developer-led inbound engagement
• Define and manage KPIs across meetings, SALs, SQLs, pipeline coverage, close rate, and ACV
• Improve lead routing, territory design, and commercial segmentation
• Implement structured call reviews and coaching cadences
• Partner with RevOps to optimize Salesforce, sequencing tools, enrichment, and intent data
• Build forecasting discipline and pipeline hygiene
• Partner closely with Enterprise AEs to surface expansion paths
• Provide structured feedback to Marketing on ICP, vertical traction, and messaging resonance
• Collaborate with Product and Developer Relations to ensure strong PLG-to-sales motion
• Act as the voice of the commercial segment in GTM planning

Inside Sales Manager

• Collaborate with teammates to design and build database features that power AI applications.
• Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).
• Help Pinecone run smoothly on popular cloud providers.
• Take ownership of your work and grow your skills every day.
• Have fun.

Senior/Staff Software Engineer, Database Team

• Design and build scalable platform components leveraging advanced retrieval
• Design and build optimized indexing pipelines for structured and unstructured data
• Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
• Improve retrieval quality through evaluation and observability frameworks
• Design APIs for internal and external users
• Optimize latency, throughput, and cost across large-scale inference and retrieval workloads
• Drive technical direction for reliability and security

Senior Software Engineer, Knowledge Engine

Product Manager

• Define the strategic priorities and roadmap for advanced retrieval capabilities built on top of Pinecone’s vector database
• Communicate with customers and stakeholders to deeply understand customer needs and distill them into actionable product requirement documents
• Partner closely with engineering and research to translate strategic goals into actionable product initiatives
• Forecast timelines and communicate product strategy and deliverables to company leadership

Staff Product Manager, Knowledge

AI Engineer

• Ship AI-driven signup experiments daily: Build and test personalized landing pages, signup flows, and pricing variants using semantic search to match visitor intent; automate lead enrichment pipelines that classify ICP fit and route high-value signups to SDRs instantly
• Create adaptive activation systems: Build AI-powered onboarding workflows that personalize tutorials, code samples, and integration guides in real-time based on user behavior; deploy automated health dashboards that flag dormant users and trigger intervention experiments
• Automate pipeline generation workflows: Use AI to generate programmatic SEO content, optimize for search intent, and detect buying signals from activity (Discord, GitHub, website, ads); auto-enrich accounts and create CRM opportunities
• Build AI agents and internal research tools: Ship agents that personalize email sequences, in-app messaging, and Slack community outreach for external users; create internal utilities for Marketing/Sales teams to instantly look up user context, journey stage, and behavior patterns using semantic search over CRM, product usage, and community data
• Build measurement and attribution infrastructure: Create end-to-end tracking systems that connect traffic sources → signups → activations with causal attribution; automate dashboards and experiments that measure impact on conversion rates, activation velocity, and pipeline generation

Staff AI Engineer, Growth

Product Marketing

• Design, build, and optimize sales and revenue operations workflows across the full customer lifecycle (lead → opportunity → close → expansion).
• Manage the AI Specialist and GTM Engineering teams to support all levels of the strategy you design for GTM.
• Partner closely with Sales, Sales Operations, RevOps, Marketing, and Data teams to identify bottlenecks and translate GTM strategy into scalable technical systems.
• Apply AI and automation (LLMs, agents, APIs, workflows) to improve sales productivity, pipeline quality, forecasting accuracy, and deal velocity.
• Integrate and extend core GTM tools (e.g. CRM, enrichment, orchestration, internal tooling) to create a unified, reliable sales operating system.
• Architect and deploy AI-powered prototypes and production workflows that proactively eliminate friction in sales processes.
• Own system reliability, data quality, and operational best practices across GTM tooling.
• Create clear technical documentation and enablement materials so teams can confidently use and extend the systems you build.

GTM Systems Manager

Technical Writer

• Plan and write documentation for developers, ML engineers, and technical architects of all experience levels: Technical guides, API and client references, walkthroughs, and sample apps.
• Contribute to the information architecture and user experience of the developer portal.
• Create a maintenance and iterative improvement cycle for our documentation
• Collaborate closely with engineering and product on new feature documentation.
• Collaborate closely with customer success and developer advocates to understand user needs and address them with documentation.
• Collect and use qualitative (eg, user research) and quantitative (eg, analytics) data to help improve the documentation content and user experience.