Workhelix
Forward-Deployed Software Engineer
Greater San Francisco Area · Junior
Sponsorship not specified$145k-$200kDetected 18 days ago
PythonFull-Stack DevelopmentSQLPostgreSQLBigQuerySnowflakeAWSGCPCloud PlatformsData EngineeringProduct ManagementProduct StrategySalesEmbedded SystemsLeadershipCommunicationProblem Solving
About the role
- 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.
Responsibilities
- Own end-to-end implementation of technical solutions-from data extraction and transformation to integration with the Workhelix platform.
- 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.
- Partner with customer stakeholders (technical and non-technical) to deeply understand their systems, workflows, and pain points.
- Balance speed and quality-know when to build quick scrappy prototypes and when to harden systems for scale.
- Collaborate with Workhelix's data scientists, strategists, and platform engineers to deliver end-to-end solutions that drive business outcomes.
- The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
- 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.
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).
Nice to have
- 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.
- Experience with cloud infrastructure (e.g., AWS, GCP) and deployment best practices is a plus.
Compensation
- Pay range and compensation package $145,000- $200,000 + Equity + Health Benefits
Benefits
- Competitive compensation package and benefits.
Company info
- 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?
- 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.
- 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.
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This listing is sourced directly from Workhelix's careers page and normalized into a canonical job model.