About the role

We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling.  You will play a role in defining how we estimate incrementality and how we improve performance.

The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics.  Improve the team’s technical rigor

To thrive in this role, you have

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• PhD in statistics, economics, or similar social science with emphasis on quantitative methods
• 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
• Advanced skills in SQL and Python or R.  Experience in use of AI to accelerate and improve end-to-end process

#LI-Hybrid #LI-AM1

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

Partner Sales Executive (U.S.

Preferred Locations:

San Francisco, CA
Seattle, WA

Overview

We are seeking a highly driven Partner Sales Executive to lead partner-driven pipeline development and execution across the U.S. market. This role is focused on activating strategic partners, generating high-quality opportunities, and accelerating deal momentum within enterprise accounts.

This is not a traditional quota-carrying Account Executive role. Instead, the Partner Sales Executive operates as a critical link between partners and the sales organization, ensuring that partner-led opportunities are well-qualified, properly positioned, and effectively executed.

Key Responsibilities

Partner-Led Pipeline Development

• Develop and manage relationships with Global System Integrators (GSIs), System Integrators (SIs), and strategic partners
• Drive pipeline through partner-led engagement models
• Ensure strong partner alignment and commitment on all opportunities

Opportunity Qualification and Execution

• Shape and qualify opportunities in collaboration with partners before transitioning to Account Executives
• Ensure all opportunities meet Sales Accepted Lead (SAL) criteria, including partner sponsorship and customer commitment
• Maintain a high standard for opportunity quality and conversion potential

Deal Acceleration

• Support complex enterprise opportunities by developing account plans, solution positioning, and supporting materials
• Coordinate across partners, Account Executives, and Sales Engineering teams to maintain deal momentum
• Proactively identify and address blockers in the sales process

Expansion Strategy

• Focus on expanding existing customer relationships through partner engagement
• Identify new use cases and opportunities within current accounts
• Align partner delivery capabilities with customer needs

Success Metrics

• Delivery of 4+ high-quality Sales Accepted Leads (SALs) per month
• Strong SAL to Closed Won conversion rates
• Consistent partner engagement and opportunity progression
• Timely delivery of solution artifacts and account plans (within 48–72 hours)
• Maintenance of a healthy pipeline aligned with regional targets

Qualifications

• 5+ years of experience working within the U.S. partner ecosystem
• Proven experience collaborating with GSIs, SIs, or strategic partners
• Strong understanding of enterprise sales processes and multi-stakeholder deal cycles
• Ability to build structured account plans and drive execution across multiple teams
• Excellent communication, coordination, and relationship management skills

Preferred Experience

• Experience in data infrastructure, databases, or enterprise software environments
• Familiarity with partner-led sales motions and co-selling models
• Background in managing or supporting complex, multi-party enterprise deals

What Sets This Role Apart

• Focus on partner orchestration rather than direct sales ownership
• Emphasis on quality and conversion over pipeline volume
• High visibility role with direct impact on revenue generation
• Opportunity to shape and scale partner-led go-to-market strategy in the U.S.

About the Opportunity

This role offers the chance to work at the center of partner and sales execution, helping drive meaningful growth in a fast-paced, high-impact environment. The ideal candidate thrives in a collaborative setting and is motivated by building scalable, partner-driven pipeline strategies.

We feel strongly about equal pay for equal work, and transparency in compensation is one way to help achieve that. The cash compensation for this role is market-competitive, with an OTE of $255,000-$300,000 made up of base and uncapped commission. Our packages also include equity and benefits including competitive health plans, retirement plans, and unlimited paid time off (PTO). The pay range for this position is a general guideline only and not a guarantee of compensation or salary. The actual pay will vary based on factors including experience, qualifications, and skill level.

#LI-Remote

Due to the Proclamation, “Restriction on Entry of Certain Nonimmigrant Workers”, which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization.

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Global Payments Performance Team are Stripe’s foremost payments experts, identifying payment optimization opportunities for Stripe’s users. We serve a critical role both in demonstrating thought leadership on challenging payment topics and partnering with our high-potential merchants to set them up for long term success. We make payments performance a competitive advantage for our users, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.

What you’ll do

You’ll be embedded directly within the Global Payments Performance team, and responsible for data & tooling used by the team and our stakeholders. You will be instrumental in scaling the subject matter expertise of the team’s payments domain experts - building datasets, agents, and tools that enable Stripes to deliver tailored, expert level content to their customers.

Responsibilities

• Develop analytics products, dashboards, and tools that GTM leverages to deliver expert level payment optimization sessions to Stripe customers.
• Maintain analytics assets owned by the team, such as metric definitions, technical documentation, vertical agents and query repositories.
• Build data pipelines that power our user insights.
• Act as a resource to the team communicating the nuance and technical complexity of payments performance adjacent data.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles.
• 4+ years experience with SQL and Python.
• Working understanding of code development processes and best practices s.a. git, code reviews, and testing.
• Expertise in data visualization and using data insights to make recommendations.
• Proven ability to manage and deliver on multiple projects with great attention to detail.
• Ability to clearly communicate results and drive impact.

Preferred qualifications

• Degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., conversion, authorization rates, authentication success rates, transaction fraud, and network costs

We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies such as Spark, Presto/Trino, Iceberg, etc. at the scale of hundreds of petabytes of data to bring everyone the inspiration to create a life they love. 

What you’ll do:

• Design, implement, and optimize Pinterest’s batch processing infrastructure.
• Collaborate with cross-functional teams to understand data needs.
• Lead technical projects and initiatives, driving them to completion.
• Mentor and guide junior engineers on best practices and architecture.
• Ensure the reliability, scalability, and efficiency of data systems.

What we’re looking for:

• 6+ years of experience building and supporting large scalable big data infrastructure/platforms
• Extensive experience with big data query technologies such as Spark SQL or Presto/Trino.
• Proven skills in designing and maintaining scalable data infrastructure.
• Proficiency in programming languages like Java, Scala, or Python.
• Strong problem-solving abilities and a drive for innovation.
• Excellent communication skills and the ability to collaborate across teams.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

#LI-REMOTE
#LI-AH2

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 75 min hands-on technical interview with a Senior Engineer.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

About the role

We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday  platform.

This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.

In this role, you will

• ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
• Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
• Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
• Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
• Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
• Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
• Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.

You may be a good fit if you

• Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
• Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
• Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
• Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
• Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
• Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
• Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
• Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
• Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines

Strong candidates may also have

• Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
• Experience with Workday Accounting Center for complex journal automation and subledger accounting
• Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
• Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
• Knowledge of SOX compliance requirements and internal controls for financial systems
• Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
• Prior experience at high-growth technology companies scaling toward IPO readiness
• Familiarity with Workday HCM and understanding of HCM-Financials integration points
• Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations

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

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

At Twitch, Financial Planning & Analysis (FP&A) partners with key stakeholders across the business to guide financial decisions and deliver actionable insights that shape the company’s growth. We are seeking a Senior Financial Analyst to join our team, reporting to the Director of Corp FP&A. In this role, you will help drive visibility into Twitch’s financial performance, support strategic initiatives, and develop data-driven recommendations that influence key business outcomes.

You will work closely with cross-functional partners including Marketing, Finance, Customer Trust, and Product teams to support forecasting, reporting, and financial modeling processes. You will design and enhance reporting, build new models, and streamline processes by leveraging automation and internal AI tools to enable more effective decision-making.

Your analysis and insights will directly inform decisions made by the CFO and executive leadership team. If you are passionate about uncovering insights that drive business growth and improve financial outcomes, this role is for you.

You can work from San Francisco, CA; Los Angeles, CA; Irvine, CA; or Seattle, WA.

You Will:

• Business Partnering: serve as a Financial partner to Marketing, Customer Trust, and UX Design organizations to support all forecasting and performance reporting activities
• Business Analysis: Maintain dashboards, track key metrics and provide actionable insights through effective analysis of financial and operational data
• Financial Modeling: Assist in building ad-hoc financial models for scenario planning and analysis
• Annual Planning: Support the annual planning and budgeting process, including data gathering, analysis, and coordination across departments
• Financial Reporting: Support the preparation of monthly, quarterly, and annual financial performance reports
• Executive Presentations: Create presentations that distill complex financial data into clear, concise charts and tables for senior leadership

You Have:

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field
• 3+ years experience in finance, ideally with experience in FP&A at a public company
• Ability to recognize and implement process improvements and build scalable solutions
• Excellent analytical, problem-solving, and communication skills
• High standards of quality, accuracy, and fidelity
• Strong organizational skills and attention to detail
• Confidence working with all levels of management
• Intermediate SQL Experience

Bonus Points

• Experience in financial modeling and forecasting, with exposure to SaaS sales and marketing metrics (e.g., LTV, CAC)
• Experience with Corp FP&A functions, and know-how for leveraging Finance Applications (TM1, OFA, Hyperion, etc) in analysis 
• Experience in leading continuous improvement projects with measurable results

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9123

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

At Twitch, Financial Planning & Analysis (FP&A) partners with key stakeholders across the business to guide financial decisions and deliver actionable insights that shape the company’s growth. We are seeking a Senior Financial Analyst to join our team, reporting to the Director of Corp FP&A. In this role, you will help drive visibility into Twitch’s financial performance, support strategic initiatives, and develop data-driven recommendations that influence key business outcomes.

You will work closely with cross-functional partners including Marketing, Finance, Customer Trust, and Product teams to support forecasting, reporting, and financial modeling processes. You will design and enhance reporting, build new models, and streamline processes by leveraging automation and internal AI tools to enable more effective decision-making.

Your analysis and insights will directly inform decisions made by the CFO and executive leadership team. If you are passionate about uncovering insights that drive business growth and improve financial outcomes, this role is for you.

You can work from San Francisco, CA; Los Angeles, CA; Irvine, CA; or Seattle, WA.

You Will:

• Business Partnering: serve as a Financial partner to Marketing, Customer Trust, and UX Design organizations to support all forecasting and performance reporting activities
• Business Analysis: Maintain dashboards, track key metrics and provide actionable insights through effective analysis of financial and operational data
• Financial Modeling: Assist in building ad-hoc financial models for scenario planning and analysis
• Annual Planning: Support the annual planning and budgeting process, including data gathering, analysis, and coordination across departments
• Financial Reporting: Support the preparation of monthly, quarterly, and annual financial performance reports
• Executive Presentations: Create presentations that distill complex financial data into clear, concise charts and tables for senior leadership

You Have:

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field
• 3+ years experience in finance, ideally with experience in FP&A at a public company
• Ability to recognize and implement process improvements and build scalable solutions
• Excellent analytical, problem-solving, and communication skills
• High standards of quality, accuracy, and fidelity
• Strong organizational skills and attention to detail
• Confidence working with all levels of management
• Intermediate SQL Experience

Bonus Points

• Experience in financial modeling and forecasting, with exposure to SaaS sales and marketing metrics (e.g., LTV, CAC)
• Experience with Corp FP&A functions, and know-how for leveraging Finance Applications (TM1, OFA, Hyperion, etc) in analysis 
• Experience in leading continuous improvement projects with measurable results

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9123

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

At Twitch, Financial Planning & Analysis (FP&A) partners with key stakeholders across the business to guide financial decisions and deliver actionable insights that shape the company’s growth. We are seeking a Senior Financial Analyst to join our team, reporting to the Director of Corp FP&A. In this role, you will help drive visibility into Twitch’s financial performance, support strategic initiatives, and develop data-driven recommendations that influence key business outcomes.

You will work closely with cross-functional partners including Marketing, Finance, Customer Trust, and Product teams to support forecasting, reporting, and financial modeling processes. You will design and enhance reporting, build new models, and streamline processes by leveraging automation and internal AI tools to enable more effective decision-making.

Your analysis and insights will directly inform decisions made by the CFO and executive leadership team. If you are passionate about uncovering insights that drive business growth and improve financial outcomes, this role is for you.

You can work from San Francisco, CA; Los Angeles, CA; Irvine, CA; or Seattle, WA.

You Will:

• Business Partnering: serve as a Financial partner to Marketing, Customer Trust, and UX Design organizations to support all forecasting and performance reporting activities
• Business Analysis: Maintain dashboards, track key metrics and provide actionable insights through effective analysis of financial and operational data
• Financial Modeling: Assist in building ad-hoc financial models for scenario planning and analysis
• Annual Planning: Support the annual planning and budgeting process, including data gathering, analysis, and coordination across departments
• Financial Reporting: Support the preparation of monthly, quarterly, and annual financial performance reports
• Executive Presentations: Create presentations that distill complex financial data into clear, concise charts and tables for senior leadership

You Have:

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field
• 3+ years experience in finance, ideally with experience in FP&A at a public company
• Ability to recognize and implement process improvements and build scalable solutions
• Excellent analytical, problem-solving, and communication skills
• High standards of quality, accuracy, and fidelity
• Strong organizational skills and attention to detail
• Confidence working with all levels of management
• Intermediate SQL Experience

Bonus Points

• Experience in financial modeling and forecasting, with exposure to SaaS sales and marketing metrics (e.g., LTV, CAC)
• Experience with Corp FP&A functions, and know-how for leveraging Finance Applications (TM1, OFA, Hyperion, etc) in analysis 
• Experience in leading continuous improvement projects with measurable results

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9123

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders.  We bring understanding and predictability to Stripe’s bottom line financials.  We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.

What you’ll do

You will partner directly with Stripe’s Growth organization, playing a pivotal role in shaping self-serve strategy and driving self-serve revenue across our global customer base. As a trusted advisor to Growth, Product, and Marketing leadership, you will use data and financial insights to improve forecasting accuracy, inform investment decisions, and optimize our self-serve business. Your work will directly support Stripe’s next phase of growth by accelerating efficient customer acquisition, activation, and expansion across all segments.

Responsibilities 

• Lead strategic finance support for the Growth organization, partnering closely with Growth, Product, Data Science, the CMO, and Product Finance.
• Develop a deep understanding of the self-serve funnel (acquisition, activation, conversion, retention, expansion) and provide actionable insights that inform both Product and Growth strategy.
• Own forecasting and planning processes for Self-serve revenue across all segments, regions, and products; provide clear visibility into drivers of growth and performance against plan.
• Build and maintain robust financial models that connect marketing demand generation, growth investments, product or pricing changes, and external drivers to revenue outcomes, enabling high-quality scenario planning and decision-making.
• Assess ROI of growth initiatives and other customer acquisition investments, ensuring capital is deployed effectively to maximize long-term value.
• Identify and drive opportunities for process automation, data standardization, and improved data infrastructure in partnership with Data Science to increase reporting accuracy and decision velocity.
• Translate complex financial, product, and growth data into clear narratives for executive audiences.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience in FP&A, Growth Finance, or Strategic Finance roles
• B.A. or B.S degree in related field 
• Demonstrated ability to forecast revenue, and model funnel dynamics in complex B2B environments
• Proven track record of partnering with senior GTM and Product leaders, and influencing business decisions through financial insight
• Strong financial modeling skills and experience with large, multi-variable planning tools
• Some SQL skills to independently access and manipulate complex datasets
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear, actionable insights
• Comfortable operating in fast-paced, ambiguous environments and balancing strategic thinking with hands-on execution

Preferred qualifications

• Experience working at a high-growth technology or financial services company
• Anaplan, Tableau or other equivalent application experience
• Advanced SQL skills
• Experience in data visualization and dashboarding

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Finance & Strategy team is a key thought partner to Stripe’s product leaders. We bring financial rigor, strategic clarity, and analytical depth to the decisions that shape Stripe’s product portfolio and long-term growth strategy.

The Payments Products Finance & Strategy team sits at the intersection of Payments and Agentic Commerce. The team is increasingly evaluating opportunities across the entire Stripe Payments portfolio with rapidly evolving market dynamics as new agentic commerce tools and behaviors form.  These areas require a finance leader who can operate across different stages of maturity, bring structure to complexity, and drive financial outcomes in an ambiguous environment.

What you’ll do

We're seeking a seasoned finance leader to lead our Agentic Commerce ambitions, both internally and externally. You’ll partner with product and engineering leads for Agentic Commerce, acting as a trusted financial and strategic advisor.  You’ll be a thought partner in developing frameworks for how to assess the evolving landscape, identify areas for growth and drive investment frameworks / strategic insights that enable Stripe to best capture this opportunity.  

This is a highly cross-functional role and requires the ability to understand the different needs in each organization and translate technical language into concise commercial insights.  Moreover, you’ll build the analytical infrastructure leveraging AI and tooling, to ensure this team delivers system-level improvements in how we deliver insights going forward.

Responsibilities

• Act as a financial and strategic advisor to the business, building investment cases and business plans, and evaluating business performance.  
• Create executive-ready presentations that tell the “investor narrative” taking into account internal data as well as external resources 
• Support new business / product launches, helping drive strategy and decision-making by bringing rigorous driver-based financial analyses / frameworks and product and industry expertise to help product leaders evaluate tradeoffs and shape strategic roadmaps. 
• As the business matures, establish and maintain key business metrics and KPIs to measure performance of new products.
• Lead the quarterly forecast and annual strategic financial planning process.
• Develop long range financial models with scenario analysis and actionable recommendations on growth, monetization and where to prioritize investments. 
• Present performance in business forums, highlighting drivers, risks and actionable insights.
• Drive process improvement and analytics scalability, partnering cross-functionally to evolve data infrastructure, reporting and analytics.
• Identify opportunities to leverage AI and automation to enable the team to operate at the leading edge of financial analysis.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• At least 10+ years of relevant experience within strategic finance, ideally at a high-growth technology company and/or with prior experience in hedge funds, sell-side, or VC with strong analytical background (i.e. investment banking)  
• B.A. or B.S degree in related field
• Exceptional analytical capabilities and business acumen, with the ability to simplify and distill complex information in a rigorous but consumable way
• Ability to create polished, executive- and investor-ready presentations that communicate complex narratives clearly and concisely with high impact
• Broad exposure to multiple industries and sectors; experience in technology, SaaS, or AI is a plus
• Proven ability to build strong collaborative working relationships with business partners and executives; you are seen as a trusted and objective advisor
• An enthusiastic self-starter with a "roll up your sleeves" mentality
• Ability to manage multiple work streams and maintain high performance under tight timelines
• Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment
• Experience with SQL or a willingness to learn
• Excellent verbal and written communication skills

Preferred qualifications

• Deep understanding of payment and card networks economics
• Experience as a finance business partner supporting a partnerships or deal-making function

ABOUT KALLES GROUP:

Everyone deserves to be secure. Our mission at Kalles Group is to help secure the future for companies of all shapes and sizes.

While our expertise spans multiple disciplines, our method remains consistent: building trust and relationship with people -- whether you are a client, a consultant, or--in this case--a candidate.

No matter what role you come from--whether you're an executive or just starting your career-you can expect our highest level of attention and respect. We want to find the right fit for each role, but we also want you to find the right fit for your career.

We believe the best way to show you what our team is like is to treat you like you're already a part of it. We hope you'll consider joining our team of experienced professionals who are building their careers at Kalles Group—and having fun while doing it.

WHAT YOU WILL DO: 

As an Infrastructure Engineer Consultant, you will help design, implement, and support modern hybrid infrastructure solutions that span both enterprise on-premises environments and Microsoft Azure. This role requires a hands-on engineer with strong experience across core infrastructure technologies, cloud services, automation, and operational support. You will play a key role in evolving infrastructure capabilities while ensuring systems remain secure, scalable, resilient, and aligned with business needs.

You will work across compute, networking, storage, identity, security, monitoring, and disaster recovery platforms to support a unified hybrid infrastructure strategy. In partnership with application teams, security, and operations, you will help deliver production-ready solutions while contributing to automation, infrastructure-as-code practices, and operational improvements. This role also requires adaptability and a forward-thinking mindset, including leveraging AI-assisted workflows and tooling to improve engineering efficiency and delivery outcomes

KEY RESPONSIBILITIES: 

• Support and maintain enterprise infrastructure platforms across both on-premises and Azure environments
• Administer core Microsoft infrastructure services including Windows Server, Active Directory, DNS, DHCP, and file services
• Manage virtualization and hyperconverged infrastructure platforms, including clustering and high-availability configurations
• Support enterprise storage environments and contribute to monitoring and optimization efforts
• Administer SQL Server environments, including high availability and disaster recovery solutions across hybrid environments
• Manage backup, recovery, and disaster recovery tooling as part of a broader business continuity strategy
• Support endpoint security, cloud security posture management, and infrastructure hardening initiatives
• Administer certificate lifecycle and PKI solutions in enterprise environments
• Maintain and enhance monitoring, alerting, and observability platforms across infrastructure systems
• Implement and maintain infrastructure solutions using Terraform, GitHub, and infrastructure-as-code practices
• Contribute to automation initiatives and reusable infrastructure components that improve operational efficiency
• Collaborate with engineering, operations, and security teams to deliver scalable and secure infrastructure solutions
• Utilize AI-assisted engineering tools and workflows to support automation, documentation, and operational improvements

ABOUT YOU:

• Your values:
  • Integrity: You believe in doing the right thing, even when it's uncomfortable, seemingly inefficient, or costly.
  • Purposefulness: You have a desire to serve others with your skillset and an openness to continuous learning and growth.
  • Ownership: You stick to your commitments, follow up with action, and seek clarity in communication & expectations.

YOUR EXPERIENCE:

Required Qualifications

• 5+ years of experience supporting enterprise infrastructure environments across on-premises and cloud platforms
• Strong hands-on experience with Windows Server, Active Directory, DNS, DHCP, virtualization, and clustering technologies
• Experience supporting hybrid infrastructure environments using Microsoft Azure
• Familiarity with Azure governance, monitoring, and security capabilities
• Experience with enterprise storage and backup/recovery platforms
• Experience managing SQL Server environments with high availability and disaster recovery configurations
• Knowledge of networking fundamentals including TCP/IP, DNS, VLANs, subnetting, and firewall concepts
• Experience with infrastructure monitoring and observability platforms
• Experience implementing infrastructure-as-code solutions using Terraform and GitHub
• Familiarity with security tooling and enterprise security best practices
• Experience leveraging automation or AI-assisted tooling within engineering workflows
• Strong communication skills with the ability to collaborate across technical and business teams

Preferred Qualifications

• Experience designing or supporting advanced Azure networking solutions
• Familiarity with Azure Arc, Azure Policy, or hybrid cloud governance strategies
• Experience building or supporting CI/CD pipelines and workflow automation
• Experience with Terraform module development and Terraform Cloud
• Azure certifications such as AZ-104, AZ-305, AZ-500, AZ-800, or AZ-801
• Familiarity with Azure PaaS services and platform engineering practices
• Experience supporting self-service infrastructure or internal developer platform initiatives

WHAT WE OFFER:

• The annual salary range for this role is $125,000-$145,000.  
• We offer Medical, Dental, Vision plans, 401K with matching, and PTO for salaried employees.
• Work/life balance – we know there’s more to life than work! We encourage our team to pursue other passions, get outside, and spend time with family. We work with clients and consultants to set expectations for a manageable workload.

LOCATION:

This role can be remote.  Our client is Seattle-based, so work hours must align to Pacific time zone.

HOW TO APPLY:

Please fill out the form below (including uploading your most recent resume) and we'll be in touch! We know imposter syndrome can be a barrier to many great applicants. We hope you'll still consider applying. That's why we've made the application process as short and simple as possible.

Even if you're not a fit for the role, you can expect to hear back from us! We want you to have the best experience as a candidate, so please feel free to share feedback at any stage of the process to talent@kallesgroup.com.

Kalles Group is an equal-opportunity employer and does not discriminate on the basis of creed, nationality, race, ethnicity, disability, gender, or other protected class.

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

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

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

As a Senior Software Development Engineer at MCG, you will lead the design and delivery of complex cloud-native services that power healthcare decision-support solutions used by health plans, providers, and other stakeholders. You'll work across multiple cloud services, navigating evolving requirements and making critical tradeoffs that directly impact the reliability, security, and performance of our products.

This role sits at the intersection of deep technical skill and cross-service ownership — you won't just write great code, you'll shape how systems interact, fail gracefully, and scale.

You Will

Scope & Influence

• Own moderate to high complexity problems that span multiple cloud services, where tradeoffs, failure modes, and non-obvious interactions must be identified and resolved.

• Operate effectively when requirements evolve during execution, providing technical judgment that keeps delivery on track.

• Influence technical decisions and design direction beyond your immediate team, serving as a trusted technical voice in cross-service discussions.

Design & Delivery

• Lead the end-to-end design and delivery of complex, cloud-native services — from requirements analysis through production operation.

• Anticipate and proactively address non-functional requirements including operational readiness, security, performance, and testability.

• Drive work through ambiguity, decomposing unclear or shifting requirements into actionable, well-sequenced plans.

AI-Augmented Engineering

• Use AI tools (e.g., Claude, Copilot) as a core part of your daily workflow — for code generation, design exploration, debugging, code review, incident analysis, and knowledge retrieval.

• Author and maintain markdown skill files that codify repetitive workflows, runbooks, and best practices, enabling consistent and efficient execution across the team and reducing tribal knowledge.

Incident Response & Reliability

• Actively contribute to incident response, root cause analysis, and preventative improvements, helping the team build increasingly resilient systems.

• Own and improve on-call practices and runbooks for services you design and deliver.

Quality & Craft

• Design services that are scalable, secure, and testable by default.

• Debug complex, multi-service issues that cross team and domain boundaries.

• Raise the testing and code quality bar through code review, pairing, and leading by example.

• Proactively address performance, reliability, security, and maintainability concerns in every phase of development.

What We're Looking For:

• 5+ years of professional software development experience, with significant time building and operating Azure cloud native distributed systems 

• Strong proficiency in C#, .Net Framework, SQL Server, REST APIs, and Microservices.

• Demonstrated experience designing scalable, secure, and testable services for production.

• Track record of debugging complex issues across multiple services and system boundaries.

• Hands-on experience with CI/CD pipelines, infrastructure-as-code, and cloud operations.

• Solid understanding of security best practices, including secure coding, authentication/authorization patterns, and data protection.

• Experience participating in or leading incident response and root cause analysis.

• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) and a demonstrated habit of integrating them into daily engineering work for code generation, review, documentation, and problem-solving.

• Experience building and maintaining markdown-based documentation (skill files, runbooks, process guides) to standardize repetitive tasks and enable team-wide automation and consistency.

• Strong communication skills — able to articulate tradeoffs, influence decisions, and mentor teammates.

Preferred Qualifications:

• Experience in healthcare technology or working with PHI/HIPAA-regulated systems.

• Familiarity with event-driven architectures, service mesh, or message bus patterns (e.g., Azure Service Bus, Kafka).

• Experience with observability tooling (logging, tracing, metrics) for distributed systems.

• Background in agile delivery and service ownership models.

Pay Range: $136,000 - $190,400

Other compensation: Bonus Eligible

Location Preference: Seattle-based talent preferred for this role

Perks & Benefits:

💻  Hybrid work

✈️ Travel expected 1–3 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

🏖️ 14 company-recognized holidays + paid volunteer days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

🌈 LGBTQ+ Health Services

🐶 Pet insurance

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled technical Cost and Receipt Accounting Systems Analyst with deep Oracle Cloud Fusion supply chain cost accounting experience to join the team. If you are passionate about the many cross-functional integrated processes that are necessary for defense tech to operate at scale and deliver the advantage to our war fighters, then this may be the opportunity for you. In this role, you will be the primary technical architect and administrator for the financial "engine" of our supply chain. You will ensure that every physical movement in our factories translates into accurate financial data. You will own the configuration, troubleshooting, and optimization of Oracle’s Cost Management and Receipt Accounting modules, ensuring our digital ledgers reflect real-time operational and financial reality.

WHAT YOU'LL DO:

• System Configuration & Ownership: Act as the Lead Functional Analyst for Oracle Fusion Cost Management and Receipt Accounting, managing cost books, valuation methods (Actual, Standard, or FIFO), and accounting rules.
• Sub-ledger Reconciliation: Direct the technical resolution of variances between the Receipt Accounting sub-ledger and the General Ledger, ensuring "Received But Not Invoiced" (RBNI) reports are accurate and automated.
• Data Integrity & Troubleshooting: Investigate and resolve stuck transactions, costing errors, and interface failures between CorpOS (ERP) and ArsenalOS (Manufacturing/Execution systems/WMS).
• Cost Accounting Optimization: Define and maintain cost elements, overhead allocation rules, and cost components to ensure accurate "Cost of Goods Sold" (COGS) reporting and inventory valuation.
• Compliance & Audit Support: Configure systems to meet DCAA and GAAP requirements, ensuring that cost-plus and fixed-price contract accounting is handled with 100% auditability.
• Release Management: Evaluate quarterly Oracle Fusion updates specifically for impact on costing flows, performing regression testing on automated accounting entries before they hit production.
• Process Engineering: Partner with Supply Chain and Manufacturing to ensure that physical receiving workflows trigger the correct technical accounting events in the ERP.

REQUIRED QUALIFICATIONS:

• 5+ years of experience in designing, developing, and implementing Oracle Cloud Fusion solutions at manufacturing companies (Aerospace & Defense industry preferred). DCAA & CPFF contracting experience a plus.
• Manufacturing Financials: Deep understanding of Transactional Accounting, including Receipt Accruals, Landed Cost Management (LCM), and Work-in-Process (WIP) costing. Strong understanding the interplay of sales, supply chain, manufacturing and finance processes between CRM, MES, WMS and ERP, with hands on experience leading development of capabilities in Oracle or SAP
• Technical Proficiency: Ability to write SQL queries to extract data for reconciliation and experience using OTBI (Oracle Transactional Business Intelligence) for financial reporting.
• A&D Industry Knowledge: Familiarity with government contracting accounting (CAS, FAR, DCAA) and how these requirements translate into ERP system settings.
• Systems Thinker: Ability to map a complex physical supply chain into a digital accounting structure without losing data granularity.
• Communication Skills: Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• U.S. Citizen or Greencard Holder status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

ABOUT THE JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

ABOUT THE JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

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.

JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

About the role

As a Compute Accounting Manager at Anthropic, you will own the end-to-end accounting for our compute expenses, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute accounting—from contract review and compliance through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong data and analytical capabilities, and the ability to build scalable processes in a high-growth environment. You'll partner directly with the relevant Engineering, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial records and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant compute spend with precision and confidence.

Responsibilities:

• • Own the complete accounting lifecycle for compute expenses, ensuring accurate and timely recording of all costs
  • Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms
  • Design and implement accrual and prepayment processes that accurately reflect the timing and nature of our compute costs
  • Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of our obligations
  • Lead accounts payable reconciliation efforts, working with vendors to resolve discrepancies and ensure statement accuracy
  • Partner with Procurement and Legal teams on contract reviews, providing accounting perspective on financial terms and implications
  • Build scalable processes and controls that can grow with the organization while maintaining accuracy and efficiency
  • Develop automated reporting and monitoring systems to provide visibility into CSP spending patterns and trends
  • Collaborate with FP&A to support forecasting and budgeting efforts related to compute costs
  • Serve as the subject matter expert on CSP accounting matters, providing guidance to cross-functional teams

You may be a good fit if you:

• • Have 10+ years of progressive accounting experience, with significant exposure to accounting for compute and review of associated contracts
  • Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills
  • Have experience working with compute cost structures and understand the unique challenges of accounting for consumption-based services
  • Possess strong analytical and problem-solving skills, with the ability to dive deep into data to identify issues and opportunities
  • Have proven experience building accounting processes and controls in high-growth environments
  • Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar)
  • Can translate complex contractual terms into proper accounting treatment
  • Excel at cross-functional partnership and can effectively communicate accounting concepts to non-finance stakeholders
  • Thrive in fast-paced environments where priorities can shift quickly
  • Have a bias toward automation and process improvement

Strong candidates may also:

• • SQL and BigQuery proficiency, enabling direct data analysis and validation
  • Python skills for building automation and analytical tools
  • Experience in consumption-based or usage-based business models
  • Background combining Big 4 accounting experience with industry roles at technology companies
  • Track record of implementing automated reconciliation and reporting solutions
  • Experience supporting rapid growth and scaling initiatives
  • Familiarity with commitment-based purchasing agreements and their accounting implications

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

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

• Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery.
• Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines.
• Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance.
• Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests.
• Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics.

What we’re looking for

• 3+ years of domain experience.
• Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.)
• Required bachelor’s degree in Computer Science, Engineering, or a related field (or relevant practical experience).
• Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems.
• Experience with SQL and relational data modeling concepts.
• Strong problem-solving skills with a collaborative, proactive attitude.
• Good communication skills; ability to explain technical concepts to team members.

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. 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 $167,000 - $230,000 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).
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?  

#LI-Onsite

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. 

About the role

We're looking for a Technical Program Manager (TPM) to drive the Data Quality program, a critical initiative to build a scalable, governed, and reliable data platform across the company. You'll partner with Data Engineering, Data Science, Infrastructure, Product, and Business teams to eliminate customer-facing data errors, reduce manual QA, and establish a single source of truth for metrics.

In this role, you'll lead the Data Governance Council (DGC), a cross-functional body responsible for setting and enforcing data governance standards. The ideal candidate is a systems thinker who can translate technical complexity into clear, actionable plans and knows when to drive alignment versus when to let teams execute.

What you’ll do

• Own and drive complex, cross-functional technical programs from concept to launch, bringing clarity to ambiguous problem spaces.
• Steer program direction by proactively identifying risks and dependencies, driving alignment through strong stakeholder relationships.
• Drive the Data Quality program end-to-end, aligning initiatives across engineering, data, and product toward strategic goals.
• Lead the Data Governance Council (DGC), driving policy decisions on certification, contract standards, and metric ownership.
• Guide key workstreams including data contracts, pipeline observability, testing, lineage tracking, and freshness SLA compliance.
• Facilitate program OKRs, roadmaps, and execution plans while ensuring delivery through prioritization, dependency tracking, and blocker resolution.
• Champion data quality across the organization by enforcing metric definitions, SLAs, and clear ownership standards.

What we’re looking for

• A Bachelor’s degree in a related field is required
• 3+ years experience as a technical program manager or related discipline
• Proven track record of delivering complex technical programs in a matrixed organization
• Strong experience with data-related programs centered around quality, governance, or platform infrastructure
• Ability to influence outcomes across teams without direct authority through trust, data, and clear communication
• Technical fluency with data systems (comfortable reading code, writing SQL, understanding pipeline architecture)
• Comfort with ambiguity, shifting priorities, and high-pressure environments

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 $149,000 - $179,000 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.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

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

• Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery.
• Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines.
• Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance.
• Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests.
• Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics.

What we’re looking for

• 4+ years of domain experience.
• Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.)
• Required bachelor’s degree in Computer Science, Engineering, or a related field (or relevant practical experience).
• Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems.
• Experience with SQL and relational data modeling concepts.
• Strong problem-solving skills with a collaborative, proactive attitude.
• Good communication skills; ability to explain technical concepts to team members.

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. 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 $167,000 - $230,000 

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).
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

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

Join a high-leverage team building Otter’s data products – the foundation that helps restaurants understand, predict, and improve performance. You’ll own end-to-end product outcomes in a portfolio that also includes analytics, live monitoring & alerts, operational insights, and data reliability. You will:

• Translate operator problems into products that turn messy, multi-channel data into clear, actionable insights.
• Raise the trust bar by partnering with platform, data, and finance teams to improve freshness, accuracy, lineage, and metric definitions – so our products become the system of record operators rely on.
• Design for action: prioritize use cases that prevent revenue loss, identify defects, and drive measurable operational improvements.
• Build for scale and speed: create modular capabilities that accelerate new use cases without custom work.
• Work cross-functionally with Engineering, Design, Data Science, GTM, and Customer teams to ship iteratively and learn fast.
• Own the outcomes, not just the roadmap: define success metrics and move them – adoption, engagement, customer satisfaction, data SLAs, and revenue impact.

What we’re looking for

• 3+ years of product management (or equivalent) with data/analytics, platform, or operational tooling.
• Demonstrated ability to ship insight-to-action products (dashboards, alerts, workflows, or similar) that delivered measurable business results.
• Data fluency: you’re comfortable in SQL, metrics design, and experiment/impact analysis; you can partner deeply with data science and engineering.
• Strong product judgment & UX instincts – you know the difference between informative and actionable, and design for busy operators.
• Cross-functional leadership across engineering, design, GTM, and customer-facing teams; excellent written and verbal communication.
• Bonus: experience with data quality/governance, metric standardization, BI/visualization tools, or multi-location enterprise customers.

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. We believe the best ideas and fastest progress happen when we’re together, so this is an in-office role five days a week.

The base salary range for this role is $167,000 - $230,000 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).
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

The Opportunity:

Grow Therapy is seeking a Senior/Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will directly influence product strategy, experimentation, and long-term investment decisions across the company.

What You’ll Be Doing:

• Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences.
• Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features.
• Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights.
• Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions.
• Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience.

You’ll Be a Good Fit If: 

• 5+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment.
• Fluent in SQL and Python, with experience designing A/B tests, building models, and translating complex data into clear recommendations.
  Experience driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics.
• Comfort navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy.
• Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients.

Role Details:

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is:

• Hybrid Commitment: $182,000–$228,000 USD USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites).

The Opportunity: 

If you’ve ever tried to find an in-network therapist — or supported someone who has — you know how broken and frustrating insurance and billing can be. At Grow, we believe insurance should be the easiest part of a patient’s mental health journey..

As a Senior Product Manager on our Billing Automation team, you’ll own one of the most complex and mission-critical areas of our platform: how therapy claims are submitted, processed, and reconciled with insurance. This is a chance to tackle a deeply messy, real-world problem and build systems that meaningfully improve the experience for providers, patients, and the business.

You’ll work closely with a strong engineering team and cross-functional partners to modernize the revenue cycle and help shape the future of mental health care infrastructure.

What You'll Be Doing:

• Own the roadmap and strategy for our Claims Engine, building an intelligent, scalable platform that handles claims submission, reconciliation, APIs, automations, and core data models.
  
  
• Design and evolve Grow’s revenue cycle system, from claim creation through adjudication and payment reconciliation.
  
  
• Identify opportunities to use automation and AI-assisted workflows to improve accuracy, reduce manual work, and scale collections intelligently.
  
  
• Dive deep into the claims lifecycle to uncover gaps, data inconsistencies, and inefficiencies — and turn those insights into meaningful product improvements.
  
  
• Partner closely with engineering, revenue cycle, finance, and other product teams to ensure we’re meeting both user and business goals.
  
  

You'll Be A Good Fit If:

• Product experience: 5+ years in a product management role where you owned the full strategy of your end-to-end surface area. Experience with financial systems, billing or revenue cycle is helpful but not required.
  
  
• AI/ML experience: Experience shipping AI/ML-powered products, including working with highly complex datasets to improve system performance, accuracy, or efficiency. Comfortable translating real-world problems into model-driven solutions, evaluating tradeoffs, and iterating based on outcomes.
  
  
• Systems thinking: Comfort working on data-heavy, workflow-driven products and understanding how changes ripple through systems.
  
  
• Technical fluency: Able to partner deeply with engineers, reason about APIs and data models, and use SQL or similar tools to inform decisions.
  
  
• Strong prioritization instincts: You know how to balance short-term wins with long-term platform investments and focus on what drives the most impact.
  
  
• User empathy: You enjoy talking to users, especially internal teams, and translating real pain points into thoughtful product solutions.
  
  
• Adaptability: You’re comfortable navigating ambiguity, learning quickly, and adjusting as new information emerges.
  
  

Role Details:

• Employment Type: Full-Time, Exempt
• Base Compensation: The base compensation range for this position is
     Hybrid Commitment: $182,000–$227,000 USD Annually 
     Fully Remote Commitment: $152,000–$189,000 USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).

The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

The Opportunity:

Grow Therapy is seeking a Staff Data Scientist to deepen our understanding of our users and unlock the next era of our growth trajectory. In this role, you will lead cross-functional, data-driven initiatives and drive insights that get more people successfully onboarded and retained in online therapy, shape how we build our mobile app and digital experiences, and lead the charge on how AI is used alongside therapy. You will also develop and own marketing and attribution models that help us reach patients more effectively and empower our providers’ success. Your work will shape product strategy, experimentation, and long-term investment decisions across the company.

What You’ll Be Doing:

• Lead experimentation and metric development to understand user behavior, optimize onboarding and retention, and guide product direction across web and mobile experiences.
• Build predictive, attribution, and behavioral models that inform marketing strategy, therapist-matching workflows, and future AI-powered features.
• Partner closely with Product, Engineering, Design, and Operations to identify opportunities, quantify impact, and drive roadmap decisions with clear, actionable insights.
• Develop dashboards, analytical frameworks, and self-serve tools that scale data access and empower teams to answer their own product questions.
• Shape Grow Therapy’s AI strategy by designing evaluation frameworks, running model-level experiments, and identifying where AI can improve the patient and provider experience.

You’ll Be a Good Fit If:

• 8+ years of experience in a quantitative role applying analytics, experimentation, and modeling in a product-focused environment, including leading high-impact, cross-functional data science or analytics initiatives.
• Fluent in SQL and Python, with deep experience designing A/B tests, building models, and setting a high bar for translating complex data into clear recommendations for stakeholders at all levels.
• Proven experience owning and driving product or growth decisions through deep user understanding, funnel analytics, or marketplace dynamics, and doing so through influence as well as hands-on work.
• Comfortable navigating ambiguity and working cross-functionally in fast-moving environments where data science directly influences strategy, and aligning multiple teams around shared metrics and insights.
• Excited about improving access to mental health care and motivated by building AI-enhanced experiences that support therapists and patients.

Role Details:

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is:

• Hybrid Commitment: $200,000–$250,000 USD USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department off-sites).

*This role requires a hybrid schedule in our Seattle, WA office; Tuesday–Thursday in-office, Monday and Friday remote.* 

ROLE OVERVIEW  

LendingTree is seeking a Business Analyst to support our fast-growing Revenue Operations group. This role is responsible for delivering actionable insights through strong analytical execution, clear storytelling, and close partnership with business stakeholders. 

As a Business Analyst, you will independently own analyses for a defined business area, assess business problems, collect and analyze the right data, and translate findings into insights that drive measurable business outcomes. You will partner closely with Sales and Marketing teams to discover and remove operational bottlenecks to drive revenue growth. Performing deep analysis into technical systems and building reports that give clarity to these complex systems.  

This role aligns to LendingTree’s Business Analyst job family with an emphasis on analytics delivery, business partnership, and technical proficiency in SQL/Snowflake. 

CORE RESPONSIBILITIES 

Analytics & Insights Delivery 

• Deliver data-driven insights using clean, well-organized analyses, dashboards, and visualizations. 

• Identify patterns, trends, and anomalies in campaign and partner performance and translate findings into clear recommendations. 

• Assess business situations, define analytical problems, and determine the appropriate data and methodology to address them. 

Revenue Operation Support 

• Serve as the primary analytics partner for the Revenue Operations group, supporting day-to-day decision-making and strategic initiatives. 

• Conduct detailed audits of tech platforms to identify optimization opportunities and inefficiencies. 

• Support strategic innovation projects by providing ongoing performance analysis and insight. 

Measurement & Experimentation 

• Track and evaluate the results of business initiatives to determine whether outcomes were successful. 

• Support the development, execution, and analysis of A/B tests, including defining success metrics and interpreting results. 

• Establish baseline performance metrics and KPIs to measure campaign success and year-over-year growth. 

Technical Execution 

• Write efficient, accurate SQL queries in Snowflake to extract and analyze large, complex datasets. 

• Ensure data accuracy and consistency across reporting and analyses. 

• Partner with engineering and product teams to understand data structures, resolve data questions, and reduce ad-hoc analytical load on engineers. 

Cross-Functional Collaboration 

• Communicate insights effectively to both technical and non-technical stakeholders. 

• Proactively surface risks and opportunities that may impact performance or scalability. 

• Contribute to analytics best practices, documentation, and standardization within the Business Analytics team. 

Immediate Focus Areas 

• Provide support for deep-dive analysis of key focus areas of Revenue Operations. 

• Build and maintain foundational dashboards to track campaign efficiency, ROI, and incremental VMD. 

• Partner with Media/Publisher stakeholders to understand priorities, workflows, and pain points. 

• Deliver actionable recommendations that drive improvements in performance and operational efficiency. 

Key Metrics & Business Impact 

This role will directly impact: 

• Incremental VMD through improved distribution optimization. 

• Cost per Conversion by identifying and reducing inefficiencies. 

• Campaign ROI via high-quality analysis and insight-driven decision-making. 

• Year-over-Year Growth by supporting scalable analytics for a rapidly expanding business line. 

QUALIFICATIONS 

Required 

• 3-5 years of experience in business analytics, data analytics, or a related role. 

• Strong proficiency in SQL, with hands-on experience querying data in Snowflake. 

• Proven experience delivering insights that influence business decisions. 

• Ability to work independently on moderately complex analytical problems. 

• Strong communication skills with the ability to translate data into clear business narratives. 

Preferred 

• Experience supporting sales, marketing, or performance-based businesses. 

• Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Power BI). 

• Familiarity with experimentation and A/B testing methodologies. 

• Experience partnering with product or engineering teams. 

Leveling & Growth Alignment (Internal Fit) 

This role is aligned to Business Analyst within LendingTree’s analytics job family: 

• Operates independently within a defined business area. 

• Owns analyses end-to-end with moderate complexity. 

• Partners closely with stakeholders and provides actionable recommendations. 

ABOUT LENDINGTREE

LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products. 

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.

About QuoteWizard

QuoteWizard, a division of LendingTree, helps consumers and insurance agents connect through a seamless online marketplace. More than 40 million people have used QuoteWizard to compare quotes and save on insurance. By combining technology, transparency, and expertise. QuoteWizard makes shopping for insurance simple and accessible — empowering people to make confident choices about their coverage. When you think of insurance, think QuoteWizard.

What else you should know:

• We’re a publicly traded company (NASDAQ: TREE).
• We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
• We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.

The base pay range for this position in Seattle/New York/Colorado/California is $80,000-95,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.

Benefits: Medical, dental, vision insurance and 401(k) matching 

OUR CULTURE

We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.

We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)

Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.

QuoteWizard by LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.  

CCPA Disclosure

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team & role

Stripe is looking for a senior product strategist-operator to join the Strategic Business Performance (SBP) team. SBP is the "connective tissue" of Stripe. You will have a front-row seat to how the company operates and a direct hand in ensuring we hit our most important goals. If you are a technical strategist who loves to move fast and fix high-stakes problems, we’d love to hear from you.

SBP is a small, high-leverage group within Central Strategy & Operations at Stripe. Our mission is to create strategic clarity around Stripe’s performance. We work with partner teams to report on the business; dive into it to support and pressure-test our strategy, driving change wherever we find soft spots and enabling the success of other teams. 

We are looking for someone who connects across data, financials and product & business strategy. and can unearth a signal in the noise and either fix the problem directly or convene the right people to fix it fast.

What you’ll do

In this role, you will work cross-functionally within our group and across Stripe’s technical and user-facing teams to solve problems and design workflows that benefit our users. Specifically:

• Own the "Signal": You will define and maintain the metrics that actually matter for in-year performance. You’ll develop a "morning read" discipline—a curated, high-signal view of the business that drives immediate action, moving far beyond standard dashboarding.
• Deep-Dive Interventions: You will lead  "surge" projects to diagnose and unblock critical goals at risk. You aren't just identifying problems; you are staying in the arena until the trajectory has measurably changed.
• Bridge Product & Strategy: You will translate long-horizon corporate theses into in-year operational reality. You’ll take ambiguous opportunities that cut across product, risk, and marketing and decompose them into structured workstreams.
• Synthesize for Leadership: You’ll think ahead of our executive team, preparing CEO/COO-level materials that translate unstructured signals into structured diagnoses they can act on.
• Pressure-test our Assumptions: You’ll work closely with Corporate Strategy and Product teams to identify gaps between our external market forces and our internal execution.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 12+ years of experience in product/data analytics within product organizations or strategic business performance teams at high-growth tech companies.
• Experience in Product Strategy, Product Management, or GM-style roles where you owned a P&L or a specific business outcome.
• Deeply curious about business models and data, probing into signals, understanding trends and customer usage patterns to uncover novel insights
• A proven track record of directly driving business growth through analytical insights and execution.
• Apply AI to enhance decision-making and operational efficiency, know when and how to use the right AI tools to move faster without sacrificing rigor or quality.
• Strong product sense and the ability to understand the technical mechanics of how software products are built and scaled.
• Experience navigating ambiguous, cross-functional problems and leading high-stakes interventions with senior stakeholders.
• Prior experience with fintech products or complex financial systems is a plus, but not required.
• Experience facilitating senior leadership/ stakeholder meetings to drive meaningful conversations regarding Stripe’s business performance.

Preferred qualifications 

• Payments ecosystem, or experience in finance or fintech is a plus
• Ability to build trust and partner with senior leaders and CXOs
• Technical proficiency in SQL  / Python / R and data analysis; ability to self-serve and perform independent deep-dives into complex datasets.
• Experience driving creative solutions with and effectively informing the roadmap of cross-functional teams 
• Ability to understand the implications of Stripe ships such as product features, policy changes, and marketing outreach on the user experience and resulting support experience

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

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

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

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

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

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