---
title: 'Product Manager, Bay Area at Nexla'
canonical: 'https://feeny.ai/job/product-manager-bay-area-nexla-san-mateo-california-679ytx0bw1bv'
type: 'job'
last_seen: '2026-09-11'
---

# Product Manager, Bay Area at Nexla

- **Company:** Nexla
- **Location:** San Mateo California, United States
- **Posted:** 2026-06-02
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/nexla/jobs/4701495005

## Job description

## About Nexla

Nexla is the leading Integration platform, built with AI, for AI. Nexla takes a metadata driven approach to converge diverse integrations across Data, Documents, Agents, Applications, and  APIs into a single design pattern. We accelerate the development of solutions for GenAI, Analytics, and Inter-company data. Nexla makes data users and developers up to 10x more productive by delivering a true blend of no-code, low-code, and pro-code interfaces.

Leading companies including DoorDash, LinkedIn, Johnson & Johnson, and LiveRamp trust Nexla for mission-critical data. Named in the 2022, 2023, and 2024 Gartner Magic Quadrant™ for Data Integration Tools and top-rated by customers on Gartner Peer Insights, headquartered in San Mateo, California.

At Nexla, our culture is built around our core values: Have Empathy, Be Curious, Be Intellectually Honest, Achieve Excellence, and Remember to Relax. We put our customers at the heart of everything we do, foster a data-driven mindset, take ownership of our work, and believe in the power of teamwork to achieve ambitious goals.

## Role

The future of enterprise software is increasingly AI-native, conversational, agent-driven, and deeply integrated into enterprise systems. We are looking for a technical, customer-first product leader with a strong operational mindset and a founder-like mentality for ownership, urgency, and problem solving. This is not a traditional PRD-driven product management role.

At Nexla, product innovation is deeply collaborative and tightly connected to engineering, customer workflows, and rapid iteration cycles. Product thinking comes from across the organization: engineering leaders, tech leads, Solutions Engineers, FDEs, customer teams, and leadership. The role of Product Management at Nexla is to operate as the connective layer between leadership’s product vision and execution across teams.

You will help translate strategic product direction into coordinated execution by:

- Researching customer problems and market opportunities
- Synthesizing customer and product signals
- Prototyping workflows and product experiences
- Collaborating closely with Engineering Managers and tech leads
- Aligning priorities across functions
- Ensuring teams stay coordinated as the platform evolves rapidly

This role is ideal for someone who thrives in ambiguity, enjoys technical products, communicates exceptionally well, and understands how modern AI-native product organizations operate.

## Key Responsibilities

You will work closely with the CEO, engineering leadership, EMs, tech leads, Solutions Engineers, FDEs, design, GTM, marketing, DevRel, and customer teams to improve product execution and organizational alignment. Your responsibilities include:

- Partner with leadership and engineering teams to translate product vision into execution.
- Work directly with customers to understand workflows, pain points, and emerging AI use cases.
- Drive product discovery through customer conversations, market research, experimentation, and rapid validation.
- Prototype workflows, product experiences, and AI-native interactions to accelerate learning and reduce ambiguity.
- Collaborate closely with Engineering Managers and technical leaders to align priorities and improve execution.
- Synthesize customer, market, and product signals into actionable product insights.
- Coordinate product releases across engineering, GTM, support, marketing, and Developer Relations.
- Help create clarity, alignment, and momentum across teams as Nexla evolves rapidly.

## Qualifications

- 4 - 8 years of experience in Product Management, Product Operations, Technical Program Management, Solutions Engineering, or related technical SaaS roles.
- Strong technical fluency experience operating in product environments involving APIs, integrations, distributed systems, data infrastructure, developer platforms, or AI/LLM systems.
- Ability to engage deeply with engineers and participate meaningfully in technical product discussions.
- Strong customer empathy and a track record of turning customer problems into product improvements.
- Excellent communication, organizational, and cross-functional collaboration skills.
- Ability to operate effectively in fast-moving, ambiguous environments with high ownership.
- Strong prioritization skills and a bias toward action.
- Experience with AI-native workflows, conversational interfaces, agents, MCP ecosystems, or developer-focused products is a plus.
- Both strategic and hands-on, comfortable coordinating across teams while also prototyping ideas, exploring workflows, researching problems, and accelerating product learning cycles directly.

## Preferred Background

- Experience in data infrastructure, integrations, APIs, AI platforms, or developer tooling
- Experience working closely with enterprise customers and technical stakeholders
- Familiarity with ETL/ELT, streaming systems, APIs, or distributed architectures
- Experience operating in fast-moving startup or platform environments
- Strong understanding of developer experience and enterprise workflow design
- Experience collaborating closely with engineering leadership and cross-functional technical teams

## Compensation

Compensation for this role will be determined by overall skills, experience, and location. The salary range for a US based Product Manager will be $150,000 - $180,000 USD. The package will also include benefits such as Medical, Dental, and Vision, 401k, and flexible PTO. Why Build Your Future at Nexla? We are standing at the precipice of the GenAI revolution, but the biggest bottleneck isn't the models, it's the data. By joining Nexla, you aren’t just entering a company; you are stepping into the critical layer of the modern data stack that powers the AI economy. We are the Data Fabric that enables industry titans like LinkedIn, DoorDash, and J&J to turn messy, siloed data into ready-to-use products for RAG and predictive models. This is your opportunity to move beyond simple tooling and build the actual infrastructure that democratizes data access for the next decade of innovation. If you want to solve the hardest problems in data engineering and own a piece of a market projected to hit billions, your career belongs here.

## About Nexla

## Core Business
- **Primary industry**: Data integration, AI infrastructure, enterprise data management
- **Target customers**: B2B, enterprise and mid-market (e.g., DoorDash, LinkedIn, Johnson & Johnson, LiveRamp, Autodesk, American Express)
- **Mission**: To simplify and automate data integration, making data accessible and ready-to-use for everyone, especially for AI and agents.

## Products & Services
- **Nexla Platform (Data Layer for Enterprise AI)**: Unified AI-powered data integration fabric connecting 700+ enterprise systems. Includes:
  - **MCP Studio**: No-code builder that creates MCP servers for agents from a business description.
  - **Helix**: Context engine that ingests documents, schemas, pipeline history, and web search into a Knowledge Graph and Vector DB to reduce agent hallucination.
  - **Agentic Probe**: Autonomous discovery of candidate data entities across connected sources.
  - **Nexsets**: Governed data products with schema, semantics, lineage, and policy.
  - **Connectors**: 700+ bidirectional connectors (SaaS, databases, streams, files, APIs, legacy) with an AI connector builder for rapid deployment.
  - **Integration patterns**: ETL/ELT, streaming and CDC, real-time Data API, Agent Data SDK, Agentic RAG.
  - **Security & compliance**: SOC 2 Type II, HIPAA, GDPR, CCPA; zero-trust identity model for MCP.
- **Delivery formats**: MCP server, real-time APIs, SDK for agent retrieval.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Processes over 1 trillion records per month; median time to deploy a new connector is <1 week using AI builder
- **Notable Customers/Recognition**: Trusted by DoorDash, LinkedIn, Johnson & Johnson, LiveRamp, Autodesk, American Express. Named in Gartner Magic Quadrant for Data Integration Tools (2022, 2023, 2024) and top-rated on Gartner Peer Insights.
- **Growth Signals**: Remote-first company with 100+ employees; expanding product capabilities around MCP and agentic data loops; continuous innovation in AI-native integration.

## Competitive Advantages
- First AI-powered data integration platform purpose-built for AI and agents, not retrofitted for legacy workflows.
- MCP Studio enables non-developers to create governed MCP servers in one conversation.
- Helix context layer reduces agent hallucination by unifying enterprise context.
- 700+ connectors with AI-powered builder for rapid onboarding.
- Full bidirectional data loop (agents can read and write back to source systems).
- Enterprise-grade security and compliance built-in (zero-trust, SOC 2, HIPAA, etc.).

## Strategic Focus
- Becoming the standard data layer for enterprise AI and agents.
- Deepening MCP ecosystem integration and expanding agentic capabilities.
- Enabling real-time, governed data flows for AI workloads.
- Scaling the platform to handle ever-growing data variety and volume.

## Why Work Here
- **Culture**: Core values include "Have Empathy", "Be Curious", "Be Intellectually Honest", "Achieve Excellence", and "Remember to Relax" – promoting work-life balance and intellectual honesty.
- **Work model**: Remote-first with headquarters in San Mateo, CA. Open roles in Bay Area, Bengaluru (India), and remote within India.
- **Engineering culture**: Focus on cutting-edge AI, data engineering, and scalable systems; employees work with modern tech stacks and have ownership over ambitious goals.
- **Perks**: Emphasis on relaxation and empathy; collaborative, data-driven environment; opportunity to impact how enterprises use AI with data.
- **Team**: 100+ employees; leadership includes experienced engineers and executives from NVIDIA, Mobsmith, and other tech companies.

## Sources
1. [Nexla About Page](https://nexla.com/about/)
2. [Nexla Main Site](https://nexla.com/)
3. [Nexla Careers Page](https://nexla.com/jobs/)
4. [Greenhouse Jobs at Nexla](http://job-boards.greenhouse.io/nexla)
5. [Nexla LinkedIn](https://www.linkedin.com/company/nexla)

## Other roles at Nexla

- [Senior / Team Lead Customer Success Manager](https://feeny.ai/job/senior-team-lead-customer-success-manager-nexla-bengaluru-wsebe4rcd9ya) — Bengaluru, India
- [Software Engineer, API(Python)](https://feeny.ai/job/software-engineer-api-python-nexla-bengaluru-3fqk6s2avf2b) — Bengaluru, India
- [Technical Lead Manager](https://feeny.ai/job/technical-lead-manager-nexla-bengaluru-wjbvgcv6e23w) — Bengaluru, India