Careers at Fountain

As a Site Reliability Engineer (SRE) at Fountain, you’ll own the reliability, scalability, and operational excellence of the systems that power our platform. You’ll partner closely with Engineering, Security, and Product to build resilient infrastructure, improve developer experience, and raise the bar on observability and incident response.

What you'll be doing:

• Own and improve platform reliability (SLOs/SLIs), capacity planning, and production readiness
• Design, build, and maintain Kubernetes-based infrastructure and deployment workflows
• Operate and evolve our AWS footprint (networking, compute, storage, IAM) with a security-first mindset
• Improve our CD/GitOps practices (ArgoCD) and deployment safety (progressive delivery, rollbacks, guardrails)
• Build autoscaling strategies for services and workloads (KEDA where appropriate)
• Lead incident response: on-call, triage, mitigation, postmortems, and preventative follow-through
• Strengthen observability across services: metrics, logs, traces, and alerting (OpenTelemetry + dashboards)
• Partner with application teams to tune performance, reduce toil, and improve operational maturity
• Improve infrastructure-as-code practices and maintain Terraform modules and environments
• Contribute to evaluating and integrating AI tooling and MCP tools to accelerate operational workflows

What you should bring:

• 5+ years of experience in site reliability engineering
• Experience owning reliability for production systems — defining SLOs or running error budgets
• Deep hands-on experience with Kubernetes/Helm on EKS in production
• Experience with Cloudflare (CDN, WAF, etc)
• Experience with CI/CD or general GitOps deployment pattern experience
• Has led or significantly contributed to incident response and postmortem processes
• Working knowledge of AWS core services (networking, IAM, compute) beyond just EKS

Nice to have:

• Experience evaluating or building AI-assisted ops tooling (MCP, agentic runbooks)
• OpenTelemetry / observability pipeline design
• ArgoCD, KEDA autoscaling
• Experience with Terraform

We are seeking a high-caliber, intellectually curious, and commercially savvy executive to help scale our enterprise strategic function. This role is ideal for someone with a consulting or strategic advisory background (e.g., management consulting) who is eager to apply that expertise in a fast-growing technology company.

As a Senior Strategic Account Executive, you will partner with the largest employers in the world - primarily Fortune 500 and global enterprises, helping them reimagine high-volume hiring, workforce operations, and the digital experiences that power frontline talent. You will advise senior leaders, uncover transformational opportunities, and architect complex solutions that drive measurable impact.

This role blends strategic advisory, executive relationship building, and enterprise deal-making. It is designed for someone who is smart, analytical, driven, and excited to help us build a world-class strategic function.

What You’ll Be Doing

• Serve as a trusted advisor to C-suite and SVP-level leaders at Fortune 500 organizations
• Diagnose complex operational, workforce, and talent acquisition challenges using a consultative, hypothesis-driven approach
• Craft compelling strategic narratives, business cases, and transformation roadmaps that clearly articulate organizational value
• Shape and lead complex, multi-stakeholder enterprise engagements from discovery through solution design and executive alignment
• Collaborate with Product, Strategy, and Solutions teams to design transformational solutions aligned to each client’s business goals
• Drive enterprise growth by expanding relationships, converting strategic insights into long-term commercial partnerships (six- and seven-figure ARR)
• Identify and synthesize emerging trends across the frontline workforce ecosystem and translate them into actionable insights internally

What You Should Bring

• 5-10 years in management consulting, corporate strategy, enterprise transformation, or similar advisory roles
  (Experience selling into or advising Fortune 500 companies strongly preferred.)
• Demonstrated ability to engage, influence, and build trust with senior executives and complex stakeholder ecosystems
• Strong strategic thinking abilities: problem-solving, business case creation, executive storytelling, and structured communication
• Experience leading complex enterprise projects, transformations, or high-value engagements
• Intellectual curiosity, polished presence, and the ability to simplify complexity for executive audiences
• Willingness to travel for key executive meetings and strategy workshops
• Hunger to build; this role requires someone who is proactive, entrepreneurial, and comfortable shaping new processes in a growing organization

Nice to Have

• Experience with workforce tech, HR tech, talent acquisition, front-line operations, or similar domains
• Background selling or influencing large enterprise accounts, even if not in a traditional sales role
• Prior experience in high-growth startups or environments where evangelism, piloting, and iteration were essential

This is not a traditional AE role. It is built for someone who wants to:

• Operate as a strategic partner, not a transactional seller
• Help build a new enterprise strategic function from the ground up
• Engage with Fortune 500 leaders on deeply strategic problems
• Use consulting skills to drive high-impact, high-value commercial outcomes

Salary Range: $120,000 - $130,000 USD + commission, depending on location and experience

Fountain sells agentic software. We intend to run on it too.

Our data platform is healthy and owned. dbt and Dagster on Kubernetes, ClickHouse Cloud as the primary analytical store, CDC off Postgres and MongoDB source systems, a long tail of third-party sources, and Snowflake, Redshift, BigQuery, and object-store lakes around the edges. Engineers on the team own those models and pipelines today, and they’ll keep owning them.

This role is different. You own the agentic buildout itself, in two halves.

First, how our own team works. We want the data team building agentically by default: agents that author and test models, extend pipelines, catch breakage and repair it, keep documentation and contracts honest. Someone has to design that system. The harnesses, the context and tooling agents work through, the review and CI workflows that make agent-written code safe to merge, the evaluations that tell us whether the output can be trusted. Other engineers own the models. You own the machinery that changes how they get built, and that machinery reaches upstream into the product, where most data problems actually start.

Second, how the rest of the company works. The same capability, pointed outward. A CSM, a finance analyst, a PM, or a support lead should be able to ask a real question and get a trustworthy answer without waiting in a queue. That means semantic context, skills and MCP surfaces, access boundaries, evaluation, and a clear-eyed view of what the agent should refuse to answer. It also means working closely with the people who’ll use it, because tooling nobody adopts is worth nothing.

At its core this is still a data and analytics engineering job. You need enough depth in modeling, dbt, and orchestration to build credibly for engineers who do it all day, and to know when agent-generated output is subtly wrong. The difference is what you’re accountable for: the leverage, not the DAG.

Be aware that this is as much a change problem as an engineering problem. Building the capability is half of it. Getting a team, and then a company, to genuinely work differently is the other half, and it’s the half that decides whether this role succeeds.

We’re moving quickly. This role is a bet that we can change how we work in weeks rather than quarters, and we’re staffing it accordingly.

What you’ll do:

• Design and build the agentic development workflow for the data team. Agent-authored models and pipeline changes, the context and tooling those agents operate through, PR and review patterns, CI that catches what agents get wrong, the guardrails that make it safe to run against production, and the standards that make any of it repeatable across a team.
• Push that reach upstream into the product. Build the context and tooling that shape how features get conceived and built in the first place, and verify data architecture while changes are in development. Most data problems are cheapest to fix at the root, before a dev PR lands, which means working inside Engineering and Product rather than downstream of them.
• Build the evaluation layer. Regression suites, correctness checks, lineage awareness, and observability on the agents themselves. Nobody adopts an agentic workflow they can’t verify, so this is foundational rather than a follow-up.
• Build agentic analytics capability for the company. Semantic context, skills, MCP surfaces, access controls, and query and cost guardrails that let non-technical teams get answers they can act on, along with the honest scoping of what the system won’t answer.
• Drive adoption. Work alongside the engineers on the data team and stakeholders across GTM, Finance, Product, and Support, teaching the patterns, watching where people get stuck, and closing the gap between what you built and how people actually work.
• Stay hands-on in the platform. You won’t own the models and pipelines, but you’ll work in that codebase constantly, and you should be able to fix what you find.

What you should bring:

• 5+ years in data engineering, analytics engineering, or a closely related role, or equivalent depth arrived at another way. What you’ve built and operated matters more to us than the number.
• Real depth in analytical data modeling and SQL. You can read a normalized transactional schema, design something that answers business questions without falling over, and spot when a generated model is subtly wrong.
• Hands-on production experience with dbt and an orchestrator. Dagster is what we run; Airflow, Prefect, or Temporal transfers fine. You should know the operational reality of a large DAG, not just the syntax.
• Strong Python and the software engineering habits that go with it: version control, testing, code review, CI/CD.
• You have shipped agentic or LLM-powered systems to production. Tool and function calling, context and retrieval design, orchestrating multi-step workflows, and evaluating all of it. You should be able to walk through something you built, how you measured whether it worked, and where it failed. This is the requirement we care most about.
• Sound judgment about data governance and PII in a multi-tenant environment. We handle applicant and worker data across 75+ countries, and exposing it through an LLM surface raises the stakes on getting access boundaries right.
• You can bring people with you. This role changes how the data team, product engineers, and other departments do their work. That requires listening well, teaching patiently, and being persuasive without a title that makes anyone do anything.

Nice to have:

• Depth in a columnar or MPP warehouse, especially ClickHouse Cloud and ClickPipes; Snowflake, BigQuery, or Redshift also translates
• Building with Claude: the API, Claude Code, the Agent SDK, MCP servers, or subagent patterns
• AWS, Kubernetes, and infrastructure as code, enough to debug your own deployment
• Semantic layer and BI tooling (Omni, Looker, dbt Semantic Layer, Cube)
• LLM observability and evaluation tooling (Langfuse, Braintrust, or equivalent)
• Streaming and CDC internals (Debezium, Kafka, Kinesis)
• Having led a technical practice change on a team that was skeptical at the start
• HR tech, high-volume hiring, workforce management, or another domain with heavy operational data

What success looks like:

These are weeks, not quarters. That’s the point, and it’s possible because you won’t be carrying the platform while you do it. The models and pipelines have owners, so your time goes into building rather than inheriting.

Week 1 — you’ve shipped. A small agent-assisted change, merged to production. You learn our stack by building in it.

Week 2 — the first agentic workflow is running against production. Agent-authored changes moving through a review path you designed, with the CI and guardrails that make merging them safe.

Week 4 — engineers other than you are using it daily, the evaluation layer is catching regressions before a human does, and the first agentic analytics capability is in front of real users outside the data team, rough edges and all.

Week 8 — agent-initiated is the default path for at least one entire class of data work, the patterns are documented well enough that adoption no longer depends on you being in the room, internal agentic analytics is live for at least one department with measurement behind it, and the rate at which we add trustworthy data capability is no longer bounded by the size of the data team.

As a Senior Implementation Manager, you will be responsible for setting customers up for long-term success on Fountain by managing the implementation process for customers across Fountain's growing suite of products.

As the primary point of contact post-sale and pre-customer success, you will drive adoption and customer value by managing overall project delivery, including system configuration, QA, setup, and customer education.

To be successful in this role, you should be organized and process-driven, communicate clearly with non-technical audiences, manage multiple projects simultaneously, and build strong relationships with customers and internal stakeholders.

What You'll Be Doing

• Partner with sales to define project scope and ensure a seamless customer experience from post-sale through go-live
• Own customer relationships through implementation (post-sale / pre-account management), collaborating with customers and internal stakeholders to define implementation strategy and business goals
• Carry out implementation projects end-to-end for small enterprise and mid-market customers, with a focus on speed to value
• Serve as a product expert, leveraging Fountain software in the most efficient ways to teach and support customers
• Complete virtual consultations and configuration walkthroughs; support customer rollouts and user training
• Perform standard data migrations and CSV imports/exports across common HR tech platforms (ATS, CRM, HRIS)
• Develop a working understanding of HR and recruiting workflows, including familiarity with ATS, HRIS, and payroll platforms
• Leverage AI tools to accelerate project documentation, generate status updates, summarize customer meetings, and manage workstream visibility across concurrent implementations

How We Use AI on This Team

At Fountain, we believe AI is a force multiplier for implementation teams. Implementation Managers are expected to actively use AI tools to work smarter, not just faster.

Here is what that looks like in practice:

• Meeting efficiency: Use AI to transcribe, summarize, and extract action items from customer and internal calls, reducing manual note-taking and ensuring nothing falls through the cracks
• Project documentation: Draft status reports, implementation plans, and stakeholder updates with AI assistance, then refine for accuracy and tone before distributing
• Customer communication: Use AI to draft initial versions of follow-up emails, kickoff agendas, and go-live checklists, keeping communication loops tight without sacrificing quality
• Technical problem-solving: Leverage AI to research configuration questions, draft setup documentation, and prepare for customer training sessions
• Knowledge management: Use AI to help maintain and improve playbooks, ensuring implementation documentation stays current as Fountain's product suite evolves
  

Comfort with AI-assisted workflows is expected. Experience with tools such as Claude, ChatGPT, Notion AI, or similar platforms is a plus.

What You Should Bring

• Solid understanding of the HR space, including hiring and workforce management concepts
• 4-6 years of experience in a similar role; e.g., implementation, project management, professional services, or consulting
• Experience with HR tech platforms such as an ATS, CRM, or HRIS
• Proven track record managing mid-market customer engagements end-to-end, with a focus on delivering value quickly and predictably
• Bachelor's degree or equivalent work experience
• Proficiency with Google Suite and ticketing systems (e.g. Intercom, Linear)
• Strong time management skills; able to manage multiple implementations simultaneously in a fast-paced environment
• Comfortable working with customers to research business processes, diagnose software issues, and translate requirements into configuration decisions
• Working knowledge of system integrations and ability to explain data flows clearly to non-technical stakeholders
• Comfort using AI tools to improve workflow efficiency and output quality
• Ability to travel onsite for customer kickoff meetings (typically 1-2 times per quarter)

Nice to Have

• PMP, Agile, SHRM, PHR, or related certifications
• Familiarity with mid-market or enterprise HRIS platforms (e.g. Rippling, ADP, BambooHR, UKG, Workday)
• Workato, Zapier, or similar integration middleware experience
• Familiarity with project management tools such as Asana
• Hands-on experience with AI productivity tools (Claude, Gemini, Notion AI, or similar)

Salary Range: $120,000- $140,000K base + bonus, depending on location and experience.

About the Role

We're looking for a different kind of Finance Manager. Someone who understands FP&A inside and out, but believes the future of finance looks fundamentally different from how most companies operate today.

At Fountain, we're actively transforming our finance organization into an AI-native, agentic function. We're moving away from manual processes, disconnected systems, repetitive reporting and spreadsheet-heavy workflows toward a model where AI agents handle much of the operational work, allowing our team to focus on analysis, strategic decisions and driving business outcomes.

We need someone who can help us build that future. This isn't a traditional FP&A role with a few AI projects on the side. We're looking for a hands-on builder who can own core financial planning and analysis responsibilities while helping redesign how our entire finance organization operates.

You'll work directly with our Head of Finance and company leadership, with significant autonomy to identify opportunities, build solutions, challenge existing processes and drive meaningful change.

We're not looking for someone who wants to learn about AI. We're looking for someone who's already using it to fundamentally change how they work.

What You'll Do

1.Transform Finance Through AI & Automation

• Conduct a comprehensive gap analysis of our finance organization, identifying manual workflows, inefficiencies, disconnected systems and opportunities for agentic automation
• Design, build, test and deploy AI agents and agentic workflows across FP&A, accounting, reporting and broader finance operations
• Develop reusable agent skills, workflows and integrations that enable our finance systems to work together with minimal manual intervention
• Identify opportunities to eliminate repetitive work, reduce operational costs, improve accuracy and accelerate execution
• Help establish best practices for agent performance, human-in-the-loop controls, reliability, monitoring and continuous improvement
• Optimize the economics of our AI infrastructure, including token consumption, model selection, execution efficiency and cost per workflow
• Partner with Finance leadership to build a roadmap toward an increasingly autonomous finance organization
  

2. Own Core FP&A & Management Reporting

• Own and continuously improve financial forecasting, budgeting, variance analysis and key SaaS operating metrics
• Build scalable, automated management reporting across the business, giving leadership timely, accurate and actionable visibility into performance
• Develop and maintain reporting for ARR, revenue, retention, unit economics, departmental performance and other critical business KPIs.
• Support board and investor reporting, including financial models, ARR waterfalls, cohort analysis and executive reporting
• Own commission calculations, tracking and reconciliation, with a focus on automating the end-to-end process
• Translate financial and operational data into clear insights that support better decision-making
• Move reporting away from manual preparation toward automated, reliable and increasingly real-time insights
  

3. Connect Systems, Data & Workflows

• Work across our finance technology stack, including Rillet, Runway, Airbase, Salesforce, Rippling and other operational platforms
• Identify gaps in how data moves between systems and develop solutions that improve data integrity, accessibility and reporting
• Build and improve integrations, automated reconciliations and cross-functional workflows
• Help establish a trusted financial data foundation that supports both traditional reporting and AI-driven decision-making
• Continuously evaluate new AI tools, platforms and approaches that can improve the efficiency and effectiveness of Finance
  

4. Be a Hands-On Finance Operator

• Roll up your sleeves and solve problems, whether that means building a financial model, investigating a reconciliation issue, developing an AI agent or redesigning an entire workflow
• Partner closely with Accounting, Sales, Customer Success, People Operations and other teams to improve financial processes across the company
• Challenge existing ways of working and proactively identify opportunities to do things faster, better and more efficiently
• Take ownership of projects from identifying the problem through implementation, measurement and ongoing optimization
  

What We're Looking For

Must Have

• A strong foundation in FP&A, corporate finance or finance operations, ideally within a SaaS or high-growth technology company
• Demonstrable, hands-on experience building and deploying AI agents, agentic workflows or LLM-powered automation in a real business environment
• Recent experience actively using AI to automate meaningful portions of your own work or your team's workflows
• Strong financial modeling skills and a solid understanding of SaaS metrics, financial reporting and management reporting
• Technical fluency and comfort working with APIs, integrations, structured data, automation platforms and AI development tools
• A track record of identifying inefficient processes and implementing solutions that deliver measurable improvements
• Strong analytical and problem-solving skills, with the ability to work independently and move quickly
• A builder's mindset. You're naturally curious, resourceful, comfortable experimenting and willing to get into the details
  

Nice to Have

• Experience with agent-building frameworks, workflow orchestration platforms or AI development environments
• Experience with Python, SQL or similar tools for data manipulation, automation and systems integration
• Familiarity with modern finance platforms such as Rillet, Runway, Airbase, Ramp and Rippling
• Experience building automated financial reporting, reconciliations, commission workflows or forecasting processes
• Experience implementing AI governance, evaluation frameworks, human-in-the-loop controls and monitoring
• Experience working at an early-stage or growth-stage company where you've helped build processes from scratch
  

What Success Looks Like

First 30 Days

• Develop a deep understanding of our finance processes, systems, reporting and existing AI initiatives
• Complete an initial gap analysis and identify the highest-impact opportunities for automation
• Begin delivering tangible improvements to existing finance workflows
  

First 90 Days

• Deploy multiple production-ready agentic workflows that meaningfully reduce manual finance work
• Establish a prioritized roadmap for broader finance transformation
• Improve the accuracy, speed and accessibility of management reporting
• Demonstrate measurable gains in efficiency, automation and operating costs
  

First 6 Months

• Help establish a finance organization where agents handle a meaningful share of recurring operational activities
• Build a scalable library of reusable finance agent skills and automated workflows
• Deliver a materially improved management reporting environment
• Demonstrate measurable reductions in manual effort, reporting cycle times and AI execution costs
  

Who Will Thrive Here

You're probably the person on your current finance team who is constantly experimenting with AI, building automations and wondering why everyone is still doing things manually.

You understand finance deeply enough to know what good looks like, but you're not attached to the traditional ways of getting there.

You don't wait for an engineering team to build everything for you. You experiment, prototype, connect tools, test solutions and figure things out.

You enjoy building as much as analyzing, and you're motivated by the opportunity to fundamentally change how a finance organization operates.

If you're excited about building the finance function of the future, rather than simply managing the finance function of today, we'd like to meet you!

Fountain is experiencing rapid growth, and our sales team is expanding!

We're looking for a highly-motivated Sales Development Representative (SDR) who is results-driven and eager to make an impact. As an SDR, you'll play a pivotal role in generating new business opportunities and building relationships with potential customers.

This role is perfect for someone passionate about sales, energized by fast-paced environments, and excited to make an impact at a company redefining hiring.

You’ll gain hands-on experience, work with cutting-edge AI tools like Fountain’s AI Recruiter and CoPilot, and partner with HR leaders, CHROs, and talent teams across retail, hospitality, and other high-volume industries to transform how frontline teams are hired and onboarded.

What You’ll Be Doing

• Respond to Inbound Demo Requests: Handle inbound email requests from prospects, schedule qualification calls, and lead early-stage sales conversations. Quickly assess if prospects align with Fountain’s solutions
• Account Research: Conduct research to identify accounts that fit Fountain’s Ideal Customer Profile (ICP) and support Account Executives (AEs) with insights that inform account plans
• Sales Outreach: Use Salesforce, Gong, Engage, LinkedIn, and AI-driven tools like CoPilot for both outbound and inbound sales activities
• Collaboration: Partner with sales and marketing teams to ensure a seamless and engaging customer journey for prospects. Build strong, lasting relationships internally and externally
• Pre & Post Event Lead Management: Assist in preparing for events by managing lead outreach and follow-ups to maximize engagement
• Event Support: Provide on-site support for the sales team, delivering account intelligence for in-person conversations. Occasionally join the team at events to assist with staffing and lead generation

What You Should Bring

• Minimum of 1 year in an SDR or sales role at a startup or high-growth company
• Experience in cold calling and emailing, making 60+ outbound calls per day
• Proven ability to manage your calendar and prioritize tasks in a fast-paced office or hybrid environment
• Exceptional communication skills, both internally and externally
• Proficiency with Salesforce, Gong, and other sales tools; experience with AI-driven tools like CoPilot is a plus
• Strong work ethic, adaptability, and willingness to learn in a dynamic, evolving sales environment

Work location: Chandler, AZ (85225). This is a hybrid role requiring a minimum of 3 days per week in the office, with flexibility to work from home on the remaining days.

Salary Range: $60,000 - $65,000 USD base + commission

#LI-KS1