Lead Product Manager-US Remote

RELQ Technologies

Los Angeles (CA)

Remote

USD 150,000 - 190,000

Part time

4 days ago
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Job summary

RELQ Technologies is seeking a highly entrepreneurial Lead Product Manager to spearhead the zero-to-one development of a brand-new ERP application in a remote United States setting. The role combines strategic product leadership with hands-on delivery in a fast-paced, AI-first environment, reporting to a high-visibility, enterprise-focused initiative.

We expect you to own the product lifecycle, drive complex integrations with our existing SaaS stack, and collaborate with engineering to

Qualifications

  • Experience delivering complex multi-tenant B2B SaaS products.
  • Proven ability to build products from scratch (zero-to-one).
  • Experience operating in startup environments with high autonomy.
  • Strong understanding of system architectures and data flows.
  • Familiarity with AI-driven development for enterprise products.

Responsibilities

  • Own the end-to-end lifecycle of the new ERP product from ideation to launch.
  • Design workflows that integrate with the existing SaaS ecosystem and data fabrics.
  • Collaborate with engineering to leverage shared backend services to speed time-to-market.
  • Lead agile and AI-driven delivery with clear user stories and acceptance criteria.
  • Bridge business, customer, and technical stakeholders to meet enterprise-grade requirements.

Skills

Enterprise SaaS
Zero-to-One
Startup Experience
Technical Fluency
AI Awareness

Tools

API Integrations
Shared Microservices

Job description

Position : Lead Product Manager

Location : Remote ( United States of America)

Type Contract - 6 Months with Possible Extension

We are an established, market-leading SaaS company seeking a highly entrepreneurial Lead Product Manager to spearhead the zero-to-one development of a brand-new ERP application. This is a high-visibility, high-impact role. You will be responsible for defining and launching an enterprise-grade, multi-tenant ERP product that seamlessly integrates into our existing suite of SaaS solutions. Because our engineering team operates with an "AI-first" methodology to build rapidly, we need a Product Manager who can match that velocity, clarify complex requirements, and drive product vision in a fast-paced, startup-like environment.

Key Responsibilities
  • Zero-to-One Product Leadership: Own the product lifecycle for the new ERP from ideation and requirements gathering through to launch and adoption.
  • Complex Integrations: Design workflows and user experiences that integrate seamlessly with our existing SaaS product ecosystem.
  • Platform Leverage: Collaborate with engineering to effectively utilize our pre built shared backend services (e.g., core data routing, unified authentication/login) to accelerate time-to-market.
  • Agile & AI-Driven Delivery: Work closely with a highly technical, AI-enabled engineering team, ensuring user stories, requirements, and acceptance criteria are crystal clear to support rapid development cycles.
  • Stakeholder Alignment: Act as the bridge between business stakeholders, customers, and technical teams to ensure the product meets strict enterprise grade requirements.
Required Experience & Must-Haves
  • Enterprise & Multi-Tenant SaaS: Proven track record of managing and launching complex, multi-tenant B2B SaaS applications (prior ERP, HRIS, or core operational software experience is highly preferred).
  • Zero-to-One Experience: Demonstrated experience building products completely from scratch, not just maintaining legacy systems.
  • Startup DNA: Must have experience in startup environments or a strong exposure to startup culture. You need to be a scrappy, highly adaptable "builder" who thrives with high autonomy.
  • Technical Fluency: Strong understanding of system architectures, API integrations, and shared microservices. You must be able to hold your own in technical discussions regarding backend routing and data architecture.
  • AI Awareness: Familiarity with AI-driven development processes and/or incorporating AI capabilities into enterprise products
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