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Growth Signals

AI-powered research platform for climate innovation

Forward Deployed Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 3 years in a software, solutions, or customer-facing technical role.
  • Background supporting enterprise software delivery or implementation projects.
  • Working knowledge of project management practices, including requirements definition, milestone planning, and delivery coordination.
  • Proficiency with application programming interfaces (APIs), cloud platforms, and modern software-as-a-service architectures.
  • Hands-on development of frontend components using React and TypeScript, integrated with backend services.
  • Ability to design and implement secure backend APIs using Python, such as Flask, Pydantic, Pyright, or similar frameworks.
  • Strong customer-facing communication skills, comfort working in structured delivery environments, and willingness to travel 40–50%.

Responsibilities

  • Participate in end-to-end delivery of enterprise customer solutions, supporting engagements from requirements and discovery through deployment and adoption.
  • Translate customer business needs and ambiguous challenges into clear, incremental, deployable solution requirements as a technical advisor.
  • Own the project execution lifecycle for customer engagements, including requirements gathering, milestone definition, task breakdown, dependency tracking, and delivery coordination.
  • Support the technical lifecycle of customer implementations, including solution design, configuration, integration, deployment, and post-deployment stabilization.
  • Engage directly with customers during implementation phases, including onsite participation, to support successful delivery, adoption, and operational readiness.
  • Design and support secure, scalable, and reliable software solutions appropriate for enterprise environments.
  • Collaborate with Sales, Customer Success, Engineering, and Product teams to ensure aligned execution and predictable delivery outcomes.
  • Assist with triage and resolution of technical or delivery issues in coordination with internal stakeholders.
  • Capture implementation insights, product feedback, and feature requests and relay actionable input to Product and Engineering teams.
  • Maintain delivery standards related to solution quality, documentation, deployment readiness, and adherence to enterprise security and compliance practices.

Desired Qualifications

  • Familiarity with large language models (LLMs), generative AI workflows, agent frameworks, or Model Context Protocol (MCP) concepts.
  • Demonstrated success delivering complex enterprise software solutions in customer-facing, client-embedded environments.
  • Prior experience in Solutions Engineering, Forward Deployed Engineering, Professional Services, or Enterprise Delivery roles with direct ownership of outcomes.

About the Company

Growth Signals

AI-powered research platform for climate innovation

Growth Signals provides an AI-powered research and strategy platform focused on climate innovation. It scans newly published research, evaluates relevance, ranks concepts, and maps them to a company’s strategic goals so teams can translate findings into revenue-ready initiatives. Unlike general AI research tools, it targets climate R&D and positions itself as a co-founder-like platform that aligns evidence with cross-silo collaboration and business outcomes, offering tailored demos and ongoing platform access. Its goal is to speed the journey from discovery to development and increase the likelihood that new research becomes revenue-generating projects.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Princeton, NJ
Founded
2024

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