Forward-Deployed Software Engineer at workhelix | AI Job Board

Job description

Who We Are

Workhelix is an enterprise SaaS company with a single goal: helping organizations get the most out of their AI investments.

Our people and software combine to give leaders answers to the three critical questions about the business value of AI:

Where are our top opportunities to create value with AI?
Are our current efforts actually delivering? What’s their ROI?
How can we accelerate and increase the benefits of our AI?

To find answers for each customer, Workhelix applies our unmatched expertise in economics, AI, and data science. We have pioneered a task-scoring method to identify top GenAI opportunities, ensuring clear, data-driven deployment strategies. Our ROI monitoring suite applies Nobel Prize-winning economics to provide accurate, ongoing insights into the impact of GenAI implementations. Renowned AI and Economics thinkers including Andrew Ng, and cofounders Andy McAfee and Erik Brynjolfsson stand proudly behind our mission.

We maintain a culture established on five key principles. For more information on our leadership principles, please visit the careers page of our website.

Role

As a Forward-Deployed Software Engineer (FDSE) at Workhelix, you’ll work directly with enterprise clients to solve high-impact data and engineering challenges. You’ll embed with client teams to understand legacy systems, extract and transform complex datasets, and build scalable solutions that answer the three critical questions leaders have for us.

This role is technical first: you’ll write production-grade code, build data pipelines, and integrate with messy real-world systems. You’ll be critical to our mission of delivering actionable insights by ensuring our software works seamlessly in diverse enterprise environments.

We expect our engineers to bring deeper technical experience—this is not an entry-level or rotational role. You’ll need at least 5 years of experience building software, ideally in environments where understanding the business context matters. You may be a good fit if you’ve been in any of the following roles: Sales Engineer, Technical Consultants, Customer facing Software Engineers, Developer Advocates or Technical Evangelist.

Key Responsibilities:

What You’ll Do

Client-Embedded Engineering

Deploy on-site or work closely with client engineering teams to extract data from enterprise systems (e.g., ERPs, data warehouses, SaaS tools).
Navigate unfamiliar systems and architectures to identify the best technical path forward, often with incomplete documentation or limited access.
Own end-to-end implementation of technical solutions—from data extraction and transformation to integration with the Workhelix platform.

Software & Infrastructure Development

Write clean, efficient, and maintainable code in Python, SQL, and other languages as needed.
Build and deploy data pipelines, APIs, and internal tooling to support analytics and modeling workflows.
Develop connectors and integrations with third-party systems, ensuring robustness and scalability.
Navigate legacy codebases to diagnose customer issues and contribute fixes when needed.

Problem Solving in the Real World

Partner with customer stakeholders (technical and non-technical) to deeply understand their systems, workflows, and pain points.
Decompose vague or ambiguous problems into tractable engineering tasks with measurable impact.
Balance speed and quality—know when to build quick scrappy prototypes and when to harden systems for scale.

Cross-Functional Execution

Collaborate with Workhelix’s data scientists, strategists, and platform engineers to deliver end-to-end solutions that drive business outcomes.
Surface client insights that inform our product roadmap and internal tooling priorities.
Contribute to internal playbooks, libraries, and reusable assets that increase the velocity of future deployments.

Requirements:

3+ years of professional software development experience, ideally in data-heavy environments or full-stack roles.
Fluency in Python and SQL, with experience working across a range of data storage systems (e.g., Postgres, Snowflake, BigQuery).
Demonstrated ability to operate in ambiguous environments and deliver working software within real-world constraints.
Strong communication skills—you can collaborate directly with client engineers and translate between technical and business domains.
Experience with cloud infrastructure (e.g., AWS, GCP) and deployment best practices is a plus.
Willingness to travel occasionally to client sites (typically U.S.-based Fortune 1000 companies).

Pay range and compensation package $145,000- $200,000 + Equity + Health Benefits

What You’ll Get

Competitive compensation package and benefits.
Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock.
The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
A high-trust, high-autonomy work environment.

At Workhelix, we stand committed to ensuring an environment of mutual respect where equal employment opportunities are available without any discrimination. We believe diversity is critical to our success. Selection for employment will solely be based on qualifications, merit, and business needs. We encourage all qualified individuals to apply!