Manager of Engineering, Alteryx
Insights & FinOps
$136.6-177.1k
Bonus payouts are based on individual and company performance
Analytics & data science automation
Be an early applicant
Analytics & data science automation
1001+ employees
Be an early applicant
$136.6-177.1k
Bonus payouts are based on individual and company performance
1001+ employees
Company mission
To put data and AI to work for the Intelligent Enterprise.
Role
Who you are
- We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual
- Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo
- You value inclusivity and want to join a culture that empowers you to show up as your authentic self
- You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together
- Proven experience leading FinOps initiatives in a cloud-native environment
- Strong understanding of:
- Cloud cost models (AWS, GCP, Azure)
- Cost allocation strategies
- Unit economics for engineering services
- Budgeting and forecasting processes
- Experience partnering with Finance and executive leadership
- Experience managing technical teams
- Strong understanding of engineering operations and service health metrics
- Familiarity with SQL, data pipelines, and BI tooling (Superset, Looker, Tableau, etc.)
- Ability to translate complex technical and financial data into clear narratives
- Structured thinker with strong prioritization skills
- Able to influence engineering leaders without direct authority
- Comfortable presenting to executive stakeholders
- Strong written and verbal communication
What the job involves
- Alteryx is searching for an Engineering Manager to lead our Engineering Insights & FinOps function
- Delivering high-quality operational dashboards and engineering health metrics
- Providing executive-level visibility into engineering performance
- Tracking adoption of internal platforms, services, and best practices
- Driving FinOps excellence across engineering
- This role combines data, engineering operations, and financial accountability. The ideal candidate comes from a strong FinOps background and has experience building data-driven engineering organizations
- Your mission is to create transparency, accountability, and financial discipline across Engineering
- Enable engineering managers to understand the health of their services
- Provide executives with clear operational and financial insights
- Establish FinOps best practices to optimize cloud and infrastructure spend
- Ensure engineering investments are measurable and aligned with business outcomes
- Manage and grow a team of data-focused ICs (SQL, Python, BI)
- Define and standardize engineering health metrics
- Oversee the design and delivery of dashboards (Superset)
- Ensure data quality, consistency, and trustworthiness
- Turn metrics into actionable insights
- Lead cloud cost visibility and allocation initiatives
- Implement cost attribution models across teams and services
- Define cost KPIs per product, service, and environment
- Drive cost optimization initiatives with engineering leaders
- Establish budgeting, forecasting, and variance tracking processes
- Partner with Finance to align engineering spend with company targets
- Provide executive-level dashboards covering:
- Service health
- Operational efficiency
- Cost trends
- Adoption of platforms and standards
- Work closely with:
- Platform and Infrastructure teams
- DevOps / SRE
- Finance
- Product leadership
- Align on metric definitions and governance
- Build a consistent framework for:
- Service reliability metrics
- Change velocity and delivery metrics
- Incident impact tracking
- Platform adoption tracking
- Identify systemic inefficiencies or financial risks
- Drive continuous improvement through data
- Within the first 6–12 months:
- Clear, trusted dashboards used by engineering managers
- Executive visibility into engineering operational performance
- Accurate cost attribution across services and teams
- Measurable improvements in cloud cost efficiency
- Adoption metrics that inform platform investment decisions
- Long term:
- Engineering operates with financial accountability
- Cloud spend scales predictably with business growth
- Platform investments are measurable and optimized
- Leadership makes decisions based on trusted operational and financial insights
- Engineering performance is measurable
- Cloud and infrastructure costs are controlled and optimized
- Platform strategy is guided by adoption data
- Executives have a clear view of engineering health and investment impact
- You will build the operating system that connects engineering performance with financial outcomes
Our take
Alteryx brings a suite of tools to automate data driven processes on a large scale, massively speeding up data based procedures. The system also uses AI to analyse data and provide insights to enable rapid decision making.
What Alteryx does differently from other data science tool developers is focus on the accessibility of its software, taking a low code/no code approach. This allows for greater collaboration between people with differing skill sets, speeding up processes for its users.
The business has made some strategic partnerships over time, most notably with Snowflake and Blue Prism. And with AI becoming more, Alteryx is projected to make major inroads in its market as more companies turn to automated solutions for data analysis.
Steph
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2015
$85m
SERIES C
Oct 2014
$60m
SERIES B
Total funding: $217m
Company HQ
Irvine Business Complex, Irvine, CA
Leadership
Dean Stoecker
(Executive Chairman)Dean began his career as a Sales Manager at D&B and Strategic Mapping for 6 years, before working as CEO of SRC for 13 years. In 1997, he co-founded Alteryx, serving as CEO from 2010, and has been Executive Chairman since 2020.
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