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Analytics Data Engineering Manager, Product
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization. You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.
In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members. You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.
Responsibilities:
-
Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars
-
Define and execute the strategic roadmap for product data foundations and analytics capabilities
-
Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts
-
Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements
-
Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team
-
Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams
-
Foster a culture of technical excellence, continuous learning, and data-driven decision making
-
Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure
You might be a good fit if you have:
-
5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
-
8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
-
Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
-
Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools
-
Proven track record of building and leading high-performing teams
-
Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
-
Demonstrated ability to balance strategic thinking with hands-on technical leadership
-
Strong communication skills with the ability to translate complex technical concepts for diverse audiences
-
Experience scaling analytics functions from early stage to maturity in rapidly changing environments
-
Track record of establishing data governance, quality standards, and best practices
-
A bias for action and urgency, not letting perfect be the enemy of the effective
-
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
-
A passion for Anthropic’s mission of building helpful, honest, and harmless AI
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Analytics Data Engineer
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
- Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
- 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.
- Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
- Expertise in SQL and Python to transform data into accurate, clean data models.
- Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
- A bias for action and urgency, not letting perfect be the enemy of the effective.
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Mental Health Therapist - Washington (Part-Time)
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Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.
One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.
Why Choose Two Chairs?
- Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
- Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
- Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
- Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you
About the Role
- Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
- Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
- Use data to drive effective treatment and adjust your approach based on client progress
- Collaborate with other mental health providers as needed and refer clients when appropriate
- Maintain progress notes and documentation in compliance with HIPAA and state regulations
Requirements
- License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
- Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
- Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
- Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
- Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
- Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
- Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.
What to Expect: Our Interview Process
- Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
- Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
- Clinical Interview: 45-minute video interview with one of our Clinical Managers
- Offer: If all goes well, you’ll receive an offer to join our team!
- Expected Interview Timeline: The entire process typically takes 2 weeks
Important Notes:
- Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html
#LI-REMOTE
Ready to apply?
Apply to Two Chairs
Who we are
In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.
What you’ll do
The restaurant industry has zero data standardization - POS systems, delivery apps, and inventory tools all speak different languages. This causes semantic drift, impedes AI enablement, and erodes trust. The Analytics Engineering team is tackling this head-on through best-in-class data normalization and modeling, a semantic layer, and automated data quality frameworks - contributing to a world-class data ecosystem from the ground up.
As an early and key contributor to this team, you'll balance hands-on technical ownership with deep cross-functional collaboration. That means building scalable data models and pipelines while partnering with Product, Engineering, Operations, and Data Science to understand how restaurants use Otter, measure platform quality and growth, and transform raw operational data into production-ready datasets that power business decisions and AI-driven products.
Responsibilities:
- Design, build, and maintain scalable data pipelines and models, owning the full lifecycle from source system ingestion through canonical datasets to production-ready analytics.
- Build and optimize data models that run against both batch and real-time query engines, understanding the tradeoffs and appropriate use cases for each.
- Partner with Engineering, Product, and Data Science teams to understand data needs and data generation patterns, define source-of-truth datasets, and ensure data quality across the pipeline.
- Design and maintain data integrity standards, SLAs, alerting, and best-practice data validation frameworks.
- Drive the development of self-service analytics solutions and AI-powered data tools to scale data access for both internal teams and external customers.
- Contribute to the design and evolution of our semantic layer and data modeling standards across the organization.
- Foster a culture of technical excellence, continuous learning, and data-fluency.
What we’re looking for
- 2+ years in the data space as an analytics engineer or data engineer, preferably in a scaling startup environment.
- Strong technical foundations with deep experience in SQL, Python, version-controlled environments, and modern data tooling, including hands-on experience with a SQL-based transformation tool (e.g., dbt, SQLMesh, or similar).
- Significant experience with a large-scale (1B+ rows) data ecosystem, with familiarity across both batch processing and real-time or OLAP query engines.
- Strong understanding of data modeling concepts: star schemas, slowly changing dimensions, incremental materialization strategies.
- Experience partnering with Product, Engineering, and Data Science to deliver data products.
- Demonstrated ability to balance strategic thinking with hands-on technical ownership.
- A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end.
- A passion for high-quality, scalable, and highly usable technical systems.
Why join us
- Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
- Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.
- Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.
What else you need to know
This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $137,000 - $162,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Time Off policies:
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
Benefits are subject to change at the company's discretion.
Ready to join us as we serve those who serve others?
#LI-Onsite
Ready to apply?
Apply to OtterAbout the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
- Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
- Architect systems that shift analytics from "answering questions" to "anticipating needs"
- Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
- Develop natural language interfaces that let business leaders query data conversationally
- Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
- Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
- Design data models that support automated analysis, pattern detection, and AI agent interactions
- Build workflows that connect insight generation to recommended actions
- Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
- Identify high-value opportunities where AI can augment human decision-making
- Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
- Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
- 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
- Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
- Strong Python proficiency for data engineering, automation, and AI agent development
- Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
- Hands-on experience building and deploying AI agents or LLM-powered applications in production
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
- Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
- Strong analytical intuition—you know what questions matter before they're asked
- Experience translating ambiguous, cross-functional business problems into technical solutions
- History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
- Experience mentoring other analysts or engineers, formally or informally
- Demonstrated ability to influence senior stakeholders and drive alignment across teams
- Comfort operating in ambiguity and shaping strategy, not just responding to it
- Track record of building systems and processes that scale beyond yourself
Builder Mindset
- You ship products, not just dashboards
- You'd rather build something useful in a week than something perfect in a quarter
- You measure success by business impact, not technical complexity
- You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
- Experience in real estate, fintech, or marketplace businesses
- Background in marketing analytics, sales operations, product analytics, or pricing/economics
- History of building tools or platforms that replaced recurring analyst work
- Experience leading technical projects or small teams
The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-DM
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
-
You measure success by business impact, not technical complexity
-
You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
-
Experience in real estate, fintech, or marketplace businesses
-
Background in marketing analytics, sales operations, product analytics, or pricing/economics
-
History of building tools or platforms that replaced recurring analyst work
-
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
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You measure success by business impact, not technical complexity
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You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
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Experience in real estate, fintech, or marketplace businesses
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Background in marketing analytics, sales operations, product analytics, or pricing/economics
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History of building tools or platforms that replaced recurring analyst work
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Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
Senior Data Engineer
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.
We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Preferred Qualifications
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
- Proven ability to optimize performance and cost across data workflows and storage systems
- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership
Compensation Details
Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
Staff Security Software Engineer
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud.
As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.
Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.
What You’ll Do:
- Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
- Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
- Work with product and engineering teams to design and implement secure architectures.
- Design and build internal tools that enable our Security Operations Center to do more, faster.
- Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.
What You’ll Add to DigitalOcean:
- 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
- Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
- Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
- Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
- A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
- Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
- High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.
Bonus qualifications:
- Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
- Experience in building secure by default services and applications.
- Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
- Experience with Looker, Snowflake, dbt, and Airflow
Compensation Range:
- $183,040 - $228,800
*This is a hybrid role
JR: 2025-7129
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP Engineering, Data Cloud
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.
DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.
This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.
We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.
What You’ll Do:
Data Cloud Platform
Architecture and delivery of a unified platform spanning:
- Ingestion (connectors, CDC, streaming)
- Storage (object, OLAP, vector, graph)
- Processing (ELT pipelines, real-time and batch)
- Query & analytics (SQL, hybrid search, RAG)
- Governance (catalog, lineage, versioning, access control)
AI-Native Capabilities
- Knowledgebase-as-a-Service (RAG pipelines)
- Vector and hybrid retrieval systems
- Feature and embedding pipelines
- Real-time inference data paths
Product & Execution
- Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
- Drive roadmap aligned to Digital Native Enterprise (DNE) customers
- Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
Organizational Leadership
- Build and scale a high-performing global organization (US and India)
- Implement single-threaded ownership (STO) across services
- Partner deeply with Product, GTM, and Platform Engineering
What Success Looks Like (12 months)
- Launch a cohesive Data Cloud platform—not a collection of fragmented services
- Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
- Reduce developer time-to-value from weeks to hours
- Establish clear differentiation versus hyperscalers on simplicity and cost
What You’ll Bring:
- Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
- Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.
Why This Role Matters
The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.
Compensation Range:
- $279,200.00 - $349,000
*This is a remote role
JR: 2026-7683
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP Engineering, Data Cloud
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.
DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.
This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.
We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.
What You’ll Do:
Data Cloud Platform
Architecture and delivery of a unified platform spanning:
- Ingestion (connectors, CDC, streaming)
- Storage (object, OLAP, vector, graph)
- Processing (ELT pipelines, real-time and batch)
- Query & analytics (SQL, hybrid search, RAG)
- Governance (catalog, lineage, versioning, access control)
AI-Native Capabilities
- Knowledgebase-as-a-Service (RAG pipelines)
- Vector and hybrid retrieval systems
- Feature and embedding pipelines
- Real-time inference data paths
Product & Execution
- Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
- Drive roadmap aligned to Digital Native Enterprise (DNE) customers
- Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
Organizational Leadership
- Build and scale a high-performing global organization (US and India)
- Implement single-threaded ownership (STO) across services
- Partner deeply with Product, GTM, and Platform Engineering
What Success Looks Like (12 months)
- Launch a cohesive Data Cloud platform—not a collection of fragmented services
- Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
- Reduce developer time-to-value from weeks to hours
- Establish clear differentiation versus hyperscalers on simplicity and cost
What You’ll Bring:
- Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
- Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.
Why This Role Matters
The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.
Compensation Range:
- $279,200.00 - $349,000
*This is a remote role
JR: 2026-7683
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP Engineering, Data Cloud
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.
DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.
This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.
We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.
What You’ll Do:
Data Cloud Platform
Architecture and delivery of a unified platform spanning:
- Ingestion (connectors, CDC, streaming)
- Storage (object, OLAP, vector, graph)
- Processing (ELT pipelines, real-time and batch)
- Query & analytics (SQL, hybrid search, RAG)
- Governance (catalog, lineage, versioning, access control)
AI-Native Capabilities
- Knowledgebase-as-a-Service (RAG pipelines)
- Vector and hybrid retrieval systems
- Feature and embedding pipelines
- Real-time inference data paths
Product & Execution
- Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
- Drive roadmap aligned to Digital Native Enterprise (DNE) customers
- Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
Organizational Leadership
- Build and scale a high-performing global organization (US and India)
- Implement single-threaded ownership (STO) across services
- Partner deeply with Product, GTM, and Platform Engineering
What Success Looks Like (12 months)
- Launch a cohesive Data Cloud platform—not a collection of fragmented services
- Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
- Reduce developer time-to-value from weeks to hours
- Establish clear differentiation versus hyperscalers on simplicity and cost
What You’ll Bring:
- Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
- Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.
Why This Role Matters
The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.
Compensation Range:
- $279,200.00 - $349,000
*This is a hybrid role
JR: 2026-7683
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP Engineering, Data Cloud
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.
DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.
This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.
We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.
What You’ll Do:
Data Cloud Platform
Architecture and delivery of a unified platform spanning:
- Ingestion (connectors, CDC, streaming)
- Storage (object, OLAP, vector, graph)
- Processing (ELT pipelines, real-time and batch)
- Query & analytics (SQL, hybrid search, RAG)
- Governance (catalog, lineage, versioning, access control)
AI-Native Capabilities
- Knowledgebase-as-a-Service (RAG pipelines)
- Vector and hybrid retrieval systems
- Feature and embedding pipelines
- Real-time inference data paths
Product & Execution
- Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
- Drive roadmap aligned to Digital Native Enterprise (DNE) customers
- Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
Organizational Leadership
- Build and scale a high-performing global organization (US and India)
- Implement single-threaded ownership (STO) across services
- Partner deeply with Product, GTM, and Platform Engineering
What Success Looks Like (12 months)
- Launch a cohesive Data Cloud platform—not a collection of fragmented services
- Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
- Reduce developer time-to-value from weeks to hours
- Establish clear differentiation versus hyperscalers on simplicity and cost
What You’ll Bring:
- Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
- Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.
Why This Role Matters
The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.
Compensation Range:
- $279,200.00 - $349,000
*This is a remote role
JR: 2026-7683
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP Engineering, Data Cloud
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.
DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.
This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.
We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.
What You’ll Do:
Data Cloud Platform
Architecture and delivery of a unified platform spanning:
- Ingestion (connectors, CDC, streaming)
- Storage (object, OLAP, vector, graph)
- Processing (ELT pipelines, real-time and batch)
- Query & analytics (SQL, hybrid search, RAG)
- Governance (catalog, lineage, versioning, access control)
AI-Native Capabilities
- Knowledgebase-as-a-Service (RAG pipelines)
- Vector and hybrid retrieval systems
- Feature and embedding pipelines
- Real-time inference data paths
Product & Execution
- Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
- Drive roadmap aligned to Digital Native Enterprise (DNE) customers
- Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
Organizational Leadership
- Build and scale a high-performing global organization (US and India)
- Implement single-threaded ownership (STO) across services
- Partner deeply with Product, GTM, and Platform Engineering
What Success Looks Like (12 months)
- Launch a cohesive Data Cloud platform—not a collection of fragmented services
- Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
- Reduce developer time-to-value from weeks to hours
- Establish clear differentiation versus hyperscalers on simplicity and cost
What You’ll Bring:
- Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
- Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
- Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
- Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
- Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.
Why This Role Matters
The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.
Compensation Range:
- $279,200.00 - $349,000
*This is a remote role
JR: 2026-7683
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Data Engineer
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Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Staff Data Scientist, Member Insights - Subscriptions
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team, focused on driving engagement and long-term member value, specifically for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem. You will define and own engagement measurement frameworks, lead high-impact analytical deep dives, design causal experiments, and develop scalable data and modeling solutions that inform product strategy for SoFi Plus.
The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist, you will operate as a data thought partner to Product, Engineering, Lifecycle Marketing, and Leadership. You will shape the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, subscription upgrades/downgrades, and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue, and ensure we are making disciplined, data-informed investment decisions. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, A/B testing, and strong collaboration.
This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.
Responsibilities:
- Design and implement data collection and processing pipelines
- Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
- Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
- Evaluate and interpret the results of data analysis
- Communicate findings to influence technical and non-technical stakeholders
- Stay up-to-date on the latest data science techniques and technologies
- Build data pipelines to deploy production level datasets
- Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs, and effectively translate insights into actionable business recommendations.
- Experience with leveraging LLMs or other AI solutions to develop analytical tools.
Qualifications:
- Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
- 7+ years of experience leveraging data-driven analysis to influence product and business strategy, ideally in a tech or subscription-based company.
- Deep expertise in:
- Retention and engagement analytics
- Cohort and lifecycle analysis
- Subscription metrics (churn, LTV, ARPU)
- Experimental design and causal inference
- Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and python.
- Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments.
- Proven experience developing and deploying machine learning models in production with monitoring frameworks.
- Strong understanding of subscription economics and revenue optimization.
- Demonstrated ability to work independently in ambiguous environments and drive measurable business impact.
- Excellent communication skills, including the ability to present complex technical findings to executive audiences.
- Track record of mentoring junior data scientists and elevating team standards.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
Senior Data Scientist, Member Insights - Growth
Share this job
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
We’re looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines.
As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program. You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration.
This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.
Responsibilities:
-
Design and implement data collection and processing pipelines
-
Develop and apply machine learning models to solve business problems
-
Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
-
Evaluate and interpret the results of data analysis
-
Communicate findings to influence technical and non-technical stakeholders
-
Stay up-to-date on the latest data science techniques and technologies
-
Build data pipelines to deploy production level datasets
Qualifications:
-
Bachelor’s degree required (Master’s preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
-
4+ years of relevant work experience
-
Strong programming skills in SQL, Python/R and proficiency in Tableau
-
Proven experience creating dashboards and reports that drive business decisions
-
Experience with using DBT, Airflow to build Data Pipelines in Snowflake
-
Experience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inference
-
Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts.
-
Experience with funnel analysis, cohort analysis, and segmentation
-
Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership.
-
Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion
-
Exceptional problem-solving skills
-
Influence outcomes and communicate technical content to general audiences
-
Work independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player.
-
Prepare comprehensive data reports and make insights easy to understand.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Data Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
- Design and own data architecture for large-scale projects while managing operational trade-offs
- Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
- Define and manage Service Level Agreements (SLAs) for all owned data sets
- Implement data security models, ensure privacy compliance, and evolve data governance processes
- Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
- Maintain production processes by optimizing complex code using advanced algorithmic concepts
- Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
- Mentor team members through actionable feedback to foster collective skill growth
- Maintain flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
- master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
- Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
- Experience with Spark and PySpark
- Master's degree in Computer Science, Computer Engineering, or a relevant technical field
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Director, Engineering - Patient
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1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Headway
Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.
About Patient Core Experience at Headway
The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.
We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.
Principles that guide us:
- Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
- We ship fast and learn fast, but we protect patient trust above all else
- We build for the whole marketplace: patients, providers, and payers
- ML powers our systems, but empathy drives our product
The Problems You'll Solve
This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:
Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.
Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.
Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.
Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.
Key Responsibilities
- Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
- Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
- Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
- Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
- Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today
What You Bring
Required experience:
- 10+ years of software engineering experience, 5+ years managing engineering managers
- Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
- Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
- Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
- Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
- Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
- Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
- Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't
Nice-to-have:
- Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
- Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
- Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
- Experience rethinking team structure or hiring profiles in response to AI productivity gains
Our Stack
Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.
You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.
You'll Love This Role If You Want To
- Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
- Shape an engineering org during a foundational transition, with high autonomy and strong executive support
- Co-own patient outcomes, not just engineering output
- Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before
Compensation and Benefits:
The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
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Apply to Headway
Data Scientist III - AI & Machine Learning
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ABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.
WHAT YOU'LL DO
Essential Job Duties & Functions
- End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
- GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
- MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
- Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- 5+ years in a professional Data Science role with a track record of deploying models at scale.
- Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
- Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
- Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
- Experience with ETL/ELT processes, specifically using dbt.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
Our Tech Stack
- Data Warehouse: BigQuery
- Orchestration: Airflow (Cloud Composer)
- Modeling: Vertex AI Pipelines, JupyterLab
- Deployment: Docker, GKE (Google Kubernetes Engine)
Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.
What Sets You Apart
- The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
- Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
- Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
Ready to apply?
Apply to onX
Clinical Assessor - WA
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Job Title: Clinical Assessor
Reports To: Corporate Director of Assessments and Referrals
Location: 3 days/week onsite (Adult Outpatient in Northgate) AND 2 days/week work from home
Schedule: Monday-Friday 8:30-5pm
Compensation: $37-48/hour
Northpoint Recovery Holdings, LLC began 2009 as Ashwood Outpatient and officially launched the Northpoint platform in 2015. Now celebrating 10 years of growth in 2025, Northpoint is a leading behavioral healthcare provider offering evidence-based treatment for adults with substance use and co-occurring disorders through the Northpoint Recovery brand, and mental health treatment for adolescents through Imagine by Northpoint. Operating under an in-network, commercial insurance model, Northpoint has grown exclusively through de novo expansion—from two facilities to seventeen across the Western U.S.—with more planned in both existing and new markets. We’re guided by core values of humility, heart, inspiration, and conviction. Our mission is simple: saving lives and restoring relationships by helping people get their lives back, and treating every individual with empathy and respect.
POSITION SUMMARY: As a key member of the Northpoint team, the Clinical Assessor will provide critical level of care assessments, individual, group, and family therapy, crisis services, case management, and referral services to outpatient clients. This person is responsible for conducting the initial assessment to determine eligibility and ensure that an initial treatment plan is developed that will identify the services and level of care needed. This position will work with other staff to ensure a smooth transition to treatment services. This person will actively communicate with support staff, treatment teams, and outside agencies on treatment and safety issues pertaining to clients and their family members. The Clinical Assessor will complete all documentation associated with these duties in a professional and timely manner.
ESSENTIAL RESPONSIBILITIES AND DUTIES:
- Conduct confidential substance use and mental health assessments in person or telehealth to determine the need and level of care for clients
- Make placement to appropriate facility based on the outcome of the assessment interview
- Use a strengths-based and trauma-informed approach to work collaboratively with clients and internal treatment team members to help support clients in their treatment goals
- Provide clinical consultation to referral resources, family members, and others to help support clients in their treatment goals
- Work closely with clients to engage them in the decision-making process and help them understand the benefits of assessment and accessing the appropriate level of care as indicated
- Collect and review referral information upon assignment of clients from the referral source and consult with others as needed to support coordination of services and scheduling of client assessments
- Coordinate with Admissions, front desk team members, and other staff as needed to contact clients and guardians to confirm appointment dates, times, and assessment locations
- Collect information from collateral resources to aid in determining diagnosis and need for treatment
- Based on assessments, make referrals to the most appropriate programs and agencies to help clients access the right level of care to best meet their treatment needs
- Monitor client access to and involvement with the program to help address barriers to treatment; follow up with client and guardian timely to assess satisfaction with adjusting to the program
- Model and support health and wellness activities and healthy coping skills for clients
- If client is admitted to one of Northpoint’s facilities, coordinate the admission and intake with the appropriate staff to ensure a timely and smooth transition into treatment; if client is referred to a program of another agency, forward all requested documentation with proper approval
- Work collaboratively with client’s funding sources and Northpoint’s Utilization Review team to obtain initial authorizations for reimbursement for treatment and support services
- Work cooperatively with the legal system to ensure coordination of services including Court appearances when appropriate
- Complete paperwork requirements and maintain quality, up-to-date clinical records, including Outcomes Survey information and information for billing; enter necessary information into the electronic medical records (EMR) system
- Maintain working knowledge of other agencies and programs and a list of resources that can be shared with clients and their guardians
- Remain in compliance with internal and external policies, procedures, regulations, and standards
- Participate in all assigned meetings, staff development, and training as required
- Provide back-up assistance to Counselors with group and individual therapy sessions as necessary
- Adhere to all company policies and procedures
- Maintain confidentiality in accordance with established policies and procedures and standards of care
- Other clinically appropriate services and special projects as assigned
QUALIFICATIONS/REQUIREMENTS:
- Master’s Degree in Mental Health or Social Sciences required
- Active mental health licensure in the state where treatment services are rendered required
- If substance use licensure is not active, must be willing to apply for substance use licensure
- Must maintain applicable state licensure requirements at hire and for the entire duration of employment
- 1+ year of experience in relevant field that clearly demonstrates knowledge and skills related to the treatment of mental health disorders
- Must be able to exercise discretion and independent judgment in all areas of job performance including adherence to appropriate professional boundaries and strict confidentiality practices in regard to client activities and documentation
- Experience with trauma-informed services, cognitive behavioral therapies including DBT, CBT, and motivational therapies
- Able to apply clinical judgment, ethics and accountability to formulate and implement treatment plans and other clinical documentation
- Ability to work with a diverse population and possess strong interpersonal skills and knowledge required for treating adolescent clients assigned
- Must hold strong personal boundaries and able to build rapport with patients
- Must understand and adhere to the ethical standards of the respective licensure governing board
PREFERRED KNOWLEDGE AND SKILLS:
- Excellent organizational abilities
- Excellent written and oral communication skills
- Attention to detail and accuracy
- Client service oriented (both internal and external)
- Creative and persistent problem solver
- Able to handle confidential material in a reliable manner
- Ability to interact and communicate with individuals at all levels of organization
- Strong interpersonal skills to handle sensitive situations and confidential information
- Ability to multi-task and prioritize workload in a fast-paced environment
- Proficiency with Microsoft Office Suite and EMR systems
FULL-TIME BENEFITS INCLUDE:
- Subsidized Health Insurance Coverage for Employee, Spouse, & Dependent(s)
- 100% Employer Paid Basic Life Insurance equal to 1x annual salary, up to $100,000
- 100% Employer Paid Employee Assistance Program
- Voluntary Dental, Vision, Short-Term Disability, Supplemental Life & AD&D, Critical Illness, Accident, and Hospital Indemnity Insurance.
- Pre-tax Savings Accounts for all IRS-allowable medical and dependent care expenses
- Generous Paid Time Off plan
- Employee Referral Bonuses
- 401K Retirement Plan & Employer Match
This job description is not intended, and should not be construed, to be exhaustive lists of all responsibilities, skills, efforts or working conditions associated with this job. It is meant to be an accurate reflection of the principal job elements essential for making fair pay decisions about jobs.
Employees with potential access to protected health information must comply with all procedures and guidelines governed by HIPAA.
Northpoint is an Equal Opportunity Employer. Northpoint is an At-Will employer. Employment may be terminated at any time by employee, or employer with or without notice.
Ready to apply?
Apply to Northpoint Recovery Holdings, LLCClinical Assessor - WA
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Job Title: Clinical Assessor
Reports To: Corporate Director of Assessments and Referrals
Location: Hybrid schedule: 3 days/week onsite (Northpoint Everett, Adult outpatient) AND 2 days/week work from home
Schedule: Monday-Friday 8:30-5pm
Compensation: $37-48/hour
Northpoint Recovery Holdings, LLC began 2009 as Ashwood Outpatient and officially launched the Northpoint platform in 2015. Now celebrating 10 years of growth in 2025, Northpoint is a leading behavioral healthcare provider offering evidence-based treatment for adults with substance use and co-occurring disorders through the Northpoint Recovery brand, and mental health treatment for adolescents through Imagine by Northpoint. Operating under an in-network, commercial insurance model, Northpoint has grown exclusively through de novo expansion—from two facilities to seventeen across the Western U.S.—with more planned in both existing and new markets. We’re guided by core values of humility, heart, inspiration, and conviction. Our mission is simple: saving lives and restoring relationships by helping people get their lives back, and treating every individual with empathy and respect.
POSITION SUMMARY: As a key member of the Northpoint team, the Clinical Assessor will provide critical level of care assessments, individual, group, and family therapy, crisis services, case management, and referral services to outpatient clients. This person is responsible for conducting the initial assessment to determine eligibility and ensure that an initial treatment plan is developed that will identify the services and level of care needed. This position will work with other staff to ensure a smooth transition to treatment services. This person will actively communicate with support staff, treatment teams, and outside agencies on treatment and safety issues pertaining to clients and their family members. The Clinical Assessor will complete all documentation associated with these duties in a professional and timely manner.
ESSENTIAL RESPONSIBILITIES AND DUTIES:
- Conduct confidential substance use and mental health assessments in person or telehealth to determine the need and level of care for clients
- Make placement to appropriate facility based on the outcome of the assessment interview
- Use a strengths-based and trauma-informed approach to work collaboratively with clients and internal treatment team members to help support clients in their treatment goals
- Provide clinical consultation to referral resources, family members, and others to help support clients in their treatment goals
- Work closely with clients to engage them in the decision-making process and help them understand the benefits of assessment and accessing the appropriate level of care as indicated
- Collect and review referral information upon assignment of clients from the referral source and consult with others as needed to support coordination of services and scheduling of client assessments
- Coordinate with Admissions, front desk team members, and other staff as needed to contact clients and guardians to confirm appointment dates, times, and assessment locations
- Collect information from collateral resources to aid in determining diagnosis and need for treatment
- Based on assessments, make referrals to the most appropriate programs and agencies to help clients access the right level of care to best meet their treatment needs
- Monitor client access to and involvement with the program to help address barriers to treatment; follow up with client and guardian timely to assess satisfaction with adjusting to the program
- Model and support health and wellness activities and healthy coping skills for clients
- If client is admitted to one of Northpoint’s facilities, coordinate the admission and intake with the appropriate staff to ensure a timely and smooth transition into treatment; if client is referred to a program of another agency, forward all requested documentation with proper approval
- Work collaboratively with client’s funding sources and Northpoint’s Utilization Review team to obtain initial authorizations for reimbursement for treatment and support services
- Work cooperatively with the legal system to ensure coordination of services including Court appearances when appropriate
- Complete paperwork requirements and maintain quality, up-to-date clinical records, including Outcomes Survey information and information for billing; enter necessary information into the electronic medical records (EMR) system
- Maintain working knowledge of other agencies and programs and a list of resources that can be shared with clients and their guardians
- Remain in compliance with internal and external policies, procedures, regulations, and standards
- Participate in all assigned meetings, staff development, and training as required
- Provide back-up assistance to Counselors with group and individual therapy sessions as necessary
- Adhere to all company policies and procedures
- Maintain confidentiality in accordance with established policies and procedures and standards of care
- Other clinically appropriate services and special projects as assigned
QUALIFICATIONS/REQUIREMENTS:
- Master’s Degree in Mental Health or Social Sciences required
- Active mental health licensure in the state where treatment services are rendered required
- If substance use licensure is not active, must be willing to apply for substance use licensure
- Must maintain applicable state licensure requirements at hire and for the entire duration of employment
- 1+ year of experience in relevant field that clearly demonstrates knowledge and skills related to the treatment of mental health disorders
- Must be able to exercise discretion and independent judgment in all areas of job performance including adherence to appropriate professional boundaries and strict confidentiality practices in regard to client activities and documentation
- Experience with trauma-informed services, cognitive behavioral therapies including DBT, CBT, and motivational therapies
- Able to apply clinical judgment, ethics and accountability to formulate and implement treatment plans and other clinical documentation
- Ability to work with a diverse population and possess strong interpersonal skills and knowledge required for treating adolescent clients assigned
- Must hold strong personal boundaries and able to build rapport with patients
- Must understand and adhere to the ethical standards of the respective licensure governing board
PREFERRED KNOWLEDGE AND SKILLS:
- Excellent organizational abilities
- Excellent written and oral communication skills
- Attention to detail and accuracy
- Client service oriented (both internal and external)
- Creative and persistent problem solver
- Able to handle confidential material in a reliable manner
- Ability to interact and communicate with individuals at all levels of organization
- Strong interpersonal skills to handle sensitive situations and confidential information
- Ability to multi-task and prioritize workload in a fast-paced environment
- Proficiency with Microsoft Office Suite and EMR systems
FULL-TIME BENEFITS INCLUDE:
- Subsidized Health Insurance Coverage for Employee, Spouse, & Dependent(s)
- 100% Employer Paid Basic Life Insurance equal to 1x annual salary, up to $100,000
- 100% Employer Paid Employee Assistance Program
- Voluntary Dental, Vision, Short-Term Disability, Supplemental Life & AD&D, Critical Illness, Accident, and Hospital Indemnity Insurance.
- Pre-tax Savings Accounts for all IRS-allowable medical and dependent care expenses
- Generous Paid Time Off plan
- Employee Referral Bonuses
- 401K Retirement Plan & Employer Match
This job description is not intended, and should not be construed, to be exhaustive lists of all responsibilities, skills, efforts or working conditions associated with this job. It is meant to be an accurate reflection of the principal job elements essential for making fair pay decisions about jobs.
Employees with potential access to protected health information must comply with all procedures and guidelines governed by HIPAA.
Northpoint is an Equal Opportunity Employer. Northpoint is an At-Will employer. Employment may be terminated at any time by employee, or employer with or without notice.
Ready to apply?
Apply to Northpoint Recovery Holdings, LLC
Finance Systems Integration Engineer
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.
You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.
In this role you will:
Core Focus: Integration Development & ERP Support
- Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions
- Support integration development and testing during the ERP implementation projects
- Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication
- Implement real-time and batch integration patterns supporting high-volume financial transactions
- Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity
- Document integration architectures, data flows, API specifications, and troubleshooting procedures
- Collaborate with implementation consulting partners and vendors on technical integration requirements
Additional Scope: AI Automation & Data Infrastructure
As you master our integration landscape, you'll have opportunities to expand into:
AI Agent Development
- Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting
- Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes
- Create automated validation and quality assurance processes for AI-generated outputs
- Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions
Data Pipeline Support
- Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation
- Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting
- Implement data quality checks and testing frameworks for financial data pipelines
- Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring
- Support executive dashboards and financial analytics by ensuring timely, accurate data delivery
Governance & Collaboration
- Maintain comprehensive documentation for integrations, AI agents, and data pipelines
- Support internal and external audits with technical evidence and system access reviews
- Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests
- Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions
You may be a good fit if you:
- Have 8+ years of experience in integration development, data engineering, or systems engineering roles
- Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
- Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
- Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
- Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
- Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
- Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
- Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems
- Thrive in a fast-paced, high-growth environment balancing innovation with operational stability
- Have excellent communication skills to collaborate with technical and business stakeholders
Strong candidates may also have:
- Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)
- Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing
- Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)
- Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management
- Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts
- Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)
- Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration
- Professional certifications such as Workato, Workday integrations, or relevant technical credentials
- Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field
- Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Data Scientist
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Since our founding, we have redefined how people approach small-dollar loans—delivering over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our customers more than $650 million.
At Possible, we’re building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team that’s making our goal a reality.
Team Introduction
Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.
The Role
You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross-functionally, you'll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.
What You'll Bring
Must-Have
- 2–4 years of hands-on experience in data science or analytics
- Strong Python and SQL skills for analysis and automation
- Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non-technical partners
- Strong data visualization skills
- A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping
Preferred
- Background in consumer finance or credit risk
- Experience with model governance or model validation
- Experience with AI or LLM platforms in an applied context
- Track record supporting cross-functional teams with analytical work
- Testing or QA mentality — validating that what was built does what it should
Nice-to-Have
- Experience with dbt or Airflow
- Dashboard design and management experience
This is a hybrid position with a shared in-office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle.
The compensation range for this role is $161,000 to $175,000. In addition to base salary, We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
With the backing of our venture investors— Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners — a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we’ve baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too. Give us a shout if you’d like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.
Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.
Learn more about us as a Public Benefit Company.
Ready to apply?
Apply to Possible Finance
Software Engineer, Financial Systems
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Software Engineer, Financial Systems
Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington
About the Role
At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.
We are eliminating the manual work that slows down operations. We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention. You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.
What You'll Do
- Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
- Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
- Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
- Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
- Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.
Tech Stack
- Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
- Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
- Languages: Python, Go, SQL, TypeScript/Node.js
- Infrastructure: AWS, Terraform, Docker, GitHub Actions
- AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration
What You'll Need
- Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
- 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
- Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
- Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
- Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
- Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.
Bonus Points For
- Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
- Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
- Track record building AI-powered automation, workflow orchestration, or internal tools.
- M.S. in Computer Science.
Compensation
The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-RO
Ready to apply?
Apply to Opendoor
Staff Data Engineer
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1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Data Engineering at Headway
Headway is looking for a Staff Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States.
The Data Engineering Team is the foundational engine of our data-driven organization. We are a high-impact group of engineers focused on delivering reliable, high-quality data assets at enterprise scale. Our work is centered on transforming raw data into business-ready intelligence through robust ETL/ELT pipelines, advanced data modeling, and rigorous data quality frameworks. We operate with a strong engineering discipline, partnering closely with Data Scientists, Analysts, and core Software Engineering teams to ensure data is not just available, but completely trustworthy for every critical decision and product feature.
About this role
As a Staff Data Engineer, you will be a hands-on technical leader, architect, and mentor, responsible for defining the future state of our data infrastructure. This role focuses on setting architectural direction, establishing organization-wide data standards, and driving the design of highly scalable and optimized data models. You will lead complex, multi-functional initiatives, focusing on data quality governance and the maturity of our pipelines. You will be expected to influence our technology choices, mentor other engineers, and act as the primary technical interface between the Data Engineering team and senior stakeholders across the business.
You Will Love This Role If You Have:
- 9+ years of experience in data engineering, with a proven track record of architecting and shipping progressively more complex, large-scale data products.
- Expert-level proficiency in our modern data stack, including Snowflake, dbt, Apache Airflow, and Python. You are capable of defining best practices and architectural patterns across these tools.
- Deep mastery of advanced data modeling techniques and their application within production systems to achieve high performance.
- Architectural Ownership: Proven ability to define the technical roadmap for the entire data platform, working horizontally to influence architectural decisions and technical debt management across multiple engineering teams.
- Engineering Elevation: A strong track record of mentoring, coaching, and elevating the technical skills, code quality, and engineering maturity of other data engineers.
- 2+ years of Marketplace Experience: Prior experience in the marketplace or two-sided platform is a significant plus.
Compensation & Benefits:
The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Ready to apply?
Apply to Headway
Senior Data Engineer
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1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About the Data Engineering Team
Headway is looking for a Senior Data Engineer to help bring us closer to our mission: creating access to affordable, quality mental healthcare across the United States.
Data is foundational to that mission. It powers everything from critical business decisions to the systems that support patients, providers, payers, and internal teams. The Data Engineering team builds and maintains the infrastructure that makes this possible. We partner closely with stakeholders across the company - including Finance, Insurance Systems, Analytics, Product, and Data Science - to ensure that Headway's data platform is scalable, reliable, and secure.
As a Senior Data Engineer, you'll help shape the future of our data architecture. You’ll work cross-functionally to design and implement robust data pipelines, define and uphold data governance standards, and ensure our platform is built to meet the growing needs of the business.
In this role, you will:
- Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions
- Define, develop, and refine data governance, monitoring, and quality standards across the company
- Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle
- Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture
- Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code
You will love this role if you have:
- 6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment
- Proficiency in Python and SQL
- Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform
- Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus!
- A pragmatic approach to building for both today’s needs and tomorrow’s scale
- A strong sense of ownership and a bias toward action, especially in the face of ambiguity
- Empathy for your teammates and stakeholders, and a collaborative mindset that values working across disciplines
- Passion for Headway’s mission to make mental healthcare more accessible and affordable
Compensation and Benefits:
The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity Compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Ready to apply?
Apply to Headway