Full-Time

Forward Deployed Software Engineer

Updated on 7/29/2026

Growth Signals

Growth Signals

11-50 employees

AI-powered research platform for climate innovation

No salary listed

Remote in USA + 1 more

More locations: Boston, MA, USA

Hybrid

Hybrid role; up to 40-50% travel to client sites; remote within the United States.

Category
Software Engineering (2)
,
Required Skills
LLM
Pydantic
Python
React.js
TypeScript
REST APIs
Flask

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Requirements
  • 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 APIs, cloud platforms, and modern SaaS architectures.
  • Hands-on development of frontend components using React and TypeScript, integrated with backend services.
  • Capability designing and implementing secure backend APIs using Python (e.g., Flask, Pydantic, Pyright, or similar frameworks).
  • Familiarity with LLMs, GenAI workflows, agent frameworks, or MCP concepts preferred.
  • 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.
  • Serve as a technical advisor by translating customer business needs and ambiguous challenges into clear, incremental, and deployable solution requirements.
  • 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 closely 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.
  • Advocate for customers by capturing implementation insights, product feedback, and feature requests and relaying 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
  • 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.

Growth Signals uses an AI-powered platform to help climate-focused organizations turn new research into revenue-ready projects by scanning, evaluating, and ranking recent publications and aligning concepts with strategic goals. It identifies new publications, assesses relevance, ranks concepts, and maps them to a company’s strategy to support cross-silo collaboration. It differentiates itself by focusing on climate R&D and acting as a co-founder-like platform that ties research to revenue, offering personalized demos and subscription access. Its goal is to accelerate the journey from discovery to development and increase the chances that new research leads to revenue-generating initiatives.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Princeton, New Jersey

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI climate startups attracted $6 billion in early 2024.
  • Energy, transport, and agriculture buyers need sector-specific research workflows.
  • Patent and journal scanning supports concept validation and technical whitespace discovery.

What critics are saying

  • General AI vendors can bundle similar research agents into enterprise suites.
  • Internal AI agents can bypass Growth Signals in customer workflows.
  • Research-only positioning faces workflow tools tied to revenue and compliance.

What makes Growth Signals unique

  • AI workspace converts R&D signals into executive-ready strategies.
  • Searches internal repositories and external climate research in one platform.
  • Focuses on novelty validation, market fit, and cross-silo collaboration.

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Benefits

Remote Work Options

Company Equity

Growth & Insights

Headcount

6 month growth

-9%

1 year growth

-9%

2 year growth

-9%