Nexla Nexla

Nexla Nexla

Product Manager, Bay Area

San Mateo, California, United States · Mid

Sponsorship not specified$150k-$180kDetected 143 days ago
Distributed SystemsData EngineeringLLMsA/B TestingProduct ManagementProduct StrategyCRMResearchLeadershipCommunicationCollaboration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Nexla, briefly Nexla is the data connectivity layer for enterprise AI.
  • Over 1,000 bidirectional connectors give agents real-time access to data and actions over MCP.
  • Nexla processes over a trillion records a month for enterprises including DoorDash, LiveRamp, LinkedIn, and J&J.

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.
  • Drive product discovery through customer conversations, market research, experimentation, and rapid validation.
  • Collaborate closely with Engineering Managers and technical leaders to align priorities and improve execution.
  • Coordinate product releases across engineering, GTM, support, marketing, and Developer Relations.
  • Help create clarity, alignment, and momentum across teams as Nexla evolves rapidly.
  • That is the system we are building.
  • Today there is no clean way to answer that question, it requires CRM, usage, support, and billing data joined in org-specific ways, and the calling agent can't just invoke a tool that returns the right answer unless someone first establishes whether the underlying data is even capable of producing one.

Requirements

  • Ability to operate effectively in fast-moving, ambiguous environments with high ownership.
  • Experience in data infrastructure, integrations, APIs, AI platforms, or developer tooling
  • 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
  • A probe agent investigates the data plane whether the right fields are populated, whether freshness is adequate, whether the joins exist, whether credentials cover the required scope and returns a grounded feasibility answer.
  • 4 - 8 years of experience in Product Management, Product Operations, Technical Program Management, Solutions Engineering, or related technical SaaS roles.
  • Excellent communication, organizational, and cross-functional collaboration skills.
  • 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 working closely with enterprise customers and technical stakeholders

Nice to have

  • Researching customer problems and market opportunities
  • Synthesizing customer and product signals
  • Prototyping workflows and product experiences
  • Aligning priorities across functions
  • Ensuring teams stay coordinated as the platform evolves rapidly
  • Synthesize customer, market, and product signals into actionable product insights.
  • 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.

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.

Benefits

  • Partner with leadership and engineering teams to translate product vision into execution.
  • Prototype workflows, product experiences, and AI-native interactions to accelerate learning and reduce ambiguity.
  • The package will also include benefits such as Medical, Dental, and Vision, 401k, and flexible PTO.

Company info

  • Honorable Mention in the Gartner Magic Quadrant™ for Data Integration Tools, and top-rated by customers on Gartner Peer Insights four years running.
  • 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.
  • A revenue team wants to ask "which enterprise customers are showing renewal risk" and get a real answer through whatever agent or app they work in.
  • Work directly with customers to understand workflows, pain points, and emerging AI use cases.
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This listing is sourced directly from Nexla Nexla's careers page and normalized into a canonical job model.