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).

This is a full-time opportunity open to job seekers in the Greater San Francisco area or to those who are willing to relocate there.

Role

At Workhelix, the Forward-Deployed Strategist is pivotal in transforming complex business challenges into actionable solutions. You'll be the bridge between customer needs, data insights, and service execution—ensuring that organizations can make better, faster, and smarter decisions with our expertise. This role combines analytical problem-solving, deep user empathy, and strategic execution.

Key Responsibilities

• Engage deeply with clients to understand their strategic goals, operational challenges, and data landscapes.
• Identify critical workflows and data sources that drive AI adoption and business transformation.
• Spearhead client workstreams with our Engineering and Product teams to design and deploy scalable, customized solutions that meet client needs.
• Lead client training sessions to ensure service adoption and empower users to generate actionable insights.
• Present strategic recommendations and deployment results to client executives, ensuring alignment on value realization.
• Work cross-functionally to influence service enhancements based on field insights.
• Design, build, and deliver impactful demos to prospective and existing clients to showcase Workhelix’s value proposition.
• Scope new engagement opportunities and assess how Workhelix can drive transformation across diverse industries.
• Analyse customer data using SQL to understand specific limitations and ways by which to mitigate these
• Work closely with sales colleagues to continuously deliver value for the customer and grow the ACV for Workhelix
• Drive execution by running SteerCo meetings, managing agendas, documenting decisions, and sharing clear follow-ups to keep projects on track.
• Bring structure to ambiguous environments by organizing workstreams, maintaining alignment across stakeholders, and ensuring nothing falls through the cracks.

What We Value

• Analytical thinkers who thrive in ambiguous environments and approach challenges with curiosity and rigor.
• A customer-centric mindset with a passion for translating complex data into software-led actionable strategies.
• Team players with low ego and a strong desire to contribute to meaningful outcomes.
• Proactive learners who adapt quickly and can guide, lead, and collaborate effectively.
• Exceptional communicators who can engage with stakeholders at every level.

What You Bring

• 4+ years of experience working in client-facing roles, particularly in strategy or consulting with extensive experience working with and/or coordinating with internal engineering and data science teams.
• Demonstrated ability to deliver results in complex organizational environments like B2B enterprise.
• Comfort navigating complex data ecosystems and identifying insights that drive business value.
• Experience developing novel software-led solutions to drive business outcomes for enterprise customers.
• Proficiency in ad-hoc data analysis and reporting.
• Strong SQL skills.
• Ability to travel (about ~25%) as required by client and business needs.
• Based in or willing to relocate to the San Francisco Bay Area for in-office collaboration.

About the Role

We’re looking for a Software Engineer (DevOps) to help design, build, and maintain the systems that keep our platform fast, reliable, and secure. This is a hands-on engineering role for someone who loves infrastructure, automation, and high-leverage backend work. You’ll work across backend services, CI/CD, and cloud architecture — enabling the entire engineering team to ship confidently and often. You’ll collaborate closely with backend and frontend engineers, owning our deployment pipelines, AWS environments, and infrastructure-as-code. The ideal candidate thrives in startup environments — solving problems pragmatically, balancing speed and reliability, and continuously improving tooling and processes.

Key Responsibilities

Infrastructure & DevOps

• Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments.
• Manage and optimize our AWS environment (ECS, EC2, Lambda, S3, CloudFormation, CloudWatch, etc.), and abstract to multi-cloud environments such as GCP and Azure.
• Build reproducible, scalable infrastructure using Terraform and other IaC tools.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Improve monitoring, logging, and observability for all production systems.
• Partner with backend engineers to automate testing, staging, and release workflows.

Backend & Service Development

• Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL.
• Write and maintain test suites and deployment scripts that keep systems stable and predictable.
• Help design and build APIs and integrations that connect infrastructure to product functionality.
• Support the team in diagnosing and resolving performance or reliability issues across environments.

Collaboration & Process

• Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases.
• Operate effectively in a fast-paced, async environment — communicate clearly and prioritize well.
• Contribute to technical documentation and help define standards for DevOps and deployment practices.

Qualifications

Required

• 5+ years of professional software engineering experience, with significant DevOps ownership.
• Deep experience with AWS primitives and cloud architecture.
• Strong expertise with CI/CD systems (GitHub Actions, CircleCI, or similar).
• Skilled with Docker, Kubernetes, and containerized application deployment.
• Experience with Terraform or other infrastructure-as-code frameworks.
• Strong background in Python, FastAPI, and SQL-based data layers.
• Proven ability to automate and streamline development and release workflows.
• Experience with VPNs (Tailscale, or similar).

Preferred

• Experience with Kubernetes, GCP, or Azure.
• Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).

Why Join

You’ll own high-leverage infrastructure and have direct impact on how quickly and confidently the entire team ships. If you enjoy working in a collaborative, high-velocity environment and want to shape the backbone of a fast-growing AI startup — this is the place.

Role Summary

Workhelix is looking for a Senior Product Manager based in the Bay Area who thrives at the intersection of complex data and elegant UX. This role is ideal for someone who has built products in experimentation platforms, analytics tools, or fintech environments where clarity, statistical rigor, and usability are non-negotiable.

You’ll work directly with engineering, data science, and forward-deployed teams to translate noisy data into intuitive interfaces that help Fortune 500 customers understand and unlock productivity with GenAI. You will own products that power core business value—particularly experimentation frameworks, metrics pipelines, dashboards, and AI-augmented insights.

We’re looking for someone who brings exceptional product craft, is comfortable thinking from first principles, and who thrives in a fast-moving, intellectually demanding, and customer-obsessed environment.

You’ll be successful in this role if the following resonate with you and reflect your strengths:

• Drive roadmap alignment: You can manage and evolve roadmaps across Workhelix’s two flagship products, ensuring they reflect top customer pain points and deliver measurable value.
  
• Execute with rigor: You’re skilled at keeping cross-functional teams focused and accountable, consistently shipping high-quality features on time.
  
• Right-size solutions: You know how to scope features effectively—shipping fast without overengineering, while still fully addressing the customer problem.
  
• Structure chaos: You thrive in fast-paced, ambiguous environments and bring clarity, process, and structure so that nothing falls through the cracks.
  
• Close the feedback loop: You proactively establish customer feedback channels and integrate insights into the development cycle to guide feature evolution.
  
• Fluent in AI tooling: You bring a strong working knowledge of AI tools, both conceptually and practically, and understand how to apply them in your daily product work.

Key Responsibilities

Product Ownership & Strategy

• Own the product roadmap for data-intensive, insight-delivering features.
• Prioritize product investments that balance short-term speed with long-term architectural and strategic integrity.
• Partner with the Head of Product and CTO to define milestones, align on KPIs, and deliver measurable business value.
  
  

Platform Design

• Lead development of Workhelix products used to measure GenAI impact.
• Partner with data science to turn statistical models and economic insights into user-facing features.
• Ensure statistical rigor in product designs—confidence intervals, control groups, etc.—without over-complicating UX.
• Partner with Tech Lead to build out platform integrations roadmap to enable customer data ingestion.
  
  

User & Customer Discovery

• Conduct deep discovery with technical end-users (e.g., engineering leaders, data scientists) to identify latent needs.
• Translate abstract customer goals into structured problem statements, delightful solutions, and product specs.
• Develop and maintain detailed product requirements, user stories, and journey maps.
  
  

Cross-Functional Collaboration

• Collaborate with engineering and design on solutions that balance feasibility, usability, and complexity.
  Drive sprint planning, backlog prioritization, and execution quality.
• Partner with forward-deployed teams to ensure successful delivery and feedback integration.
  
  

Product Craft & Quality

• Define intuitive ways to present complex metrics, statistical models, and benchmarks to  end users who are typically in senior leadership roles (C-Suite, SVP/VP, Directors, Heads of)
• Drive consistency in interaction patterns across complex user workflows.
• Establish and monitor product metrics and dashboards to track adoption and impact.

Role Requirements

Required

• 7+ years of product management experience, with at least 3+ years leading data-heavy products in experimentation, analytics, or fintech domains.
• Demonstrated ability to own an end-to-end product lifecycle in fast-paced, high-stakes environments.
• Deep familiarity with experimentation systems: A/B testing, multivariate testing, statistical significance, cohorting, feature flagging, etc.
• Strong understanding of data visualization best practices and user-centered design for technical audiences. You draw influence from Tufte’s ideas.
• Experience working closely with engineering and data teams; ability to engage on API, metrics pipeline, and dashboard topics.
• Track record of strong cross-functional influence and excellent written communication.
  
  

Preferred

• Background in building developer tools or productivity platforms.
• Fluency with SQL and comfort working in notebooks or prototyping with basic data sets.
• Experience in high-autonomy team environment.
• Familiarity with economics or ROI measurement frameworks.
• Experience with enterprise SaaS tools and security/privacy considerations.
• Prior exposure to GenAI products and/or AI-enhanced user interfaces.