We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The Company:

Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence-enabled technologies.

Founded in 2014, the Company’s mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world’s best talent to realize exciting new possibilities across all of these lines. Faraday Future’s automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.

Your Role:

We are seeking a strategic and results-driven Sales Manager, E-commerce to report directly to the executive leadership team. This role will lead the overall growth strategy, daily operations, and commercial performance of our digital commerce business across Amazon and Shopify, while building a scalable global e-commerce operating model.

As a key commercial leader, you will own marketplace and DTC channel performance, optimize the full online sales funnel, and drive revenue growth through data-driven decision-making, cross-functional collaboration, and customer-centric execution. This role is critical to expanding FF’s online business, strengthening digital brand presence, and delivering best-in-class e-commerce experiences.

Key Responsibilities

1. E-commerce Strategy & Channel Growth

• Develop and lead the overall e-commerce growth strategy for Amazon and Shopify, including sales planning, channel positioning, pricing architecture, and promotion strategy.
• Own channel revenue targets, sales forecasting, and growth roadmaps, ensuring sustainable and profitable expansion across marketplace and DTC businesses.
• Identify new opportunities to scale digital sales through assortment strategy, customer segmentation, lifecycle planning, and performance optimization.

1. Amazon & Shopify Store Operations

• Oversee end-to-end operations of Amazon Seller/Vendor Central and Shopify storefronts, including product listings, merchandising, catalog setup, promotions, order flow, and customer experience.
• Ensure best-in-class content execution across product pages, including SEO, A+ content, brand stores, landing pages, and conversion-focused merchandising.
• Lead platform optimization initiatives to improve traffic, conversion rate, average order value, repeat purchase rate, and customer retention.

1. Sales Performance & Commercial Execution

• Build and execute promotional calendars across Amazon and Shopify, including seasonal campaigns, product launches, paid traffic activations, and retention programs.
• Partner with marketing teams to drive high-quality traffic through performance media, CRM/email, affiliate, influencer, and content channels.
• Monitor competitive pricing, market dynamics, and consumer demand trends to adjust commercial strategy and maximize sales performance.

1. Data Analytics & Business Optimization

• Own the core e-commerce KPIs, including GMV, net sales, conversion rate, traffic, ROAS, CAC, AOV, repeat purchase rate, contribution margin, and inventory turnover.
• Translate business data into actionable insights and lead continuous optimization across product mix, pricing, promotions, and funnel performance.
• Build dashboards, performance reporting routines, and business reviews for executive leadership to support fast, informed decision-making.

1. Cross-functional Collaboration & Operational Excellence

• Work closely with product, brand, supply chain, logistics, customer service, finance, and technology teams to ensure seamless execution across all e-commerce touchpoints.
• Coordinate inventory planning and fulfillment readiness to support launches, campaigns, and ongoing sales growth while minimizing stockouts and aged inventory.
• Improve operational processes, systems, and workflows to create a scalable e-commerce infrastructure for future business growth.

1. Team Leadership & Capability Building

• Build, lead, and mentor a high-performing e-commerce team across operations, sales, merchandising, and channel management functions.
• Establish clear business goals, accountability mechanisms, and performance standards for channel teams and agency/vendor partners.
• Foster a culture of agility, ownership, and data-driven execution in a fast-paced, high-growth environment.

Qualifications

• Bachelor’s degree in Business, Marketing, E-commerce, Supply Chain, or a related field; MBA preferred.
• Experience: 10+ years of relevant experience in e-commerce, digital commerce, online sales, or marketplace operations, with at least 5 years in a leadership role.
• Platform Expertise: Deep hands-on experience managing Amazon (Seller Central and/or Vendor Central) and Shopify/Shopify Plus businesses at scale.
• Commercial Track Record: Proven success in driving online sales growth, improving conversion, scaling digital channels, and managing full-funnel e-commerce performance. 
• Operational Strength: Strong understanding of e-commerce operations, including catalog management, merchandising, pricing, promotions, fulfillment coordination, and customer experience.
• Analytical Capability: Highly data-driven with strong command of performance metrics, business analysis, forecasting, and ROI optimization.
• Leadership: Demonstrated ability to lead cross-functional teams, manage multiple priorities, and deliver results in a fast-paced, rapidly evolving environment.

Preferred Qualifications

• Experience in consumer electronics, automotive, lifestyle, luxury, or technology-driven products. 
• Strong understanding of Amazon advertising, marketplace algorithms, DTC growth strategy, and customer acquisition/retention models. 
• Experience with Shopify apps/ecosystem, conversion rate optimization, UX merchandising, and subscription/CRM programs. 
• Familiarity with e-commerce analytics and reporting tools such as Google Analytics, Amazon Brand Analytics, Helium 10, Jungle Scout, Looker, Tableau, or similar platforms. 
• Experience managing third-party agencies, marketplace partners, and digital vendors.
• Global market exposure, especially experience supporting e-commerce growth in both U.S. and international markets. 
• Strong entrepreneurial mindset with the ability to build new channels, test quickly, and scale winning strategies.

Perks + Benefits

• Healthcare + dental + vision benefits (Free for you / discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role

Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.

Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.

Please note: this role is remote - with 50% of travel required.

What You'll Do

• Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
• Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
• Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data,  and provide the tooling/content for self-service business justifications.
• Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
• Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
• Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
• Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
• Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.

What You Bring

• Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
• Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
• Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
• Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
• Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.

Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Accounting at Brex

The Accounting team at Brex ensures we produce accurate and timely financial results to stakeholders to guide the business forward.  We go beyond closing the books — we automate, iterate, and improve processes in close collaboration with partners across the business. The team also serves as power users and thought leaders for Brex's own products. We bring precision and curiosity to everything we build, combining deep ownership with a product mindset to help shape the future of finance.

What you’ll do

The Financial Reporting Manager will manage all aspects of our financial reporting processes. The primary responsibility involves the preparation and distribution of financials in line with internal management reporting format and GAAP standards. You are responsible for maintaining the integrity of our financial records as well as developing reporting processes that scale as Brex evolves and matures. You will work cross functionally within a detail-oriented environment where creative problem solving is highly valued. The Financial Reporting Manager is expected to manage multiple priorities concurrently without compromising quality, accuracy or completeness.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead the monthly, quarterly and annual preparation of consolidated and entity-only financial statements for internal and external use
• Manage various reporting for regulated entities, ensuring the highest level of compliance with the regulatory reporting requirements 
• Act as the subject matter expert, evaluate complex, non-routine transactions and provide technical accounting guidance and disclosure recommendations
• Stay current on FASB pronouncements and proactively assess impact to the Company in partnership with business stakeholders
• Iterate and develop GAAP accounting policies and support high-impact business initiatives such as post-merger integration and product launches
• Act as the primary accounting stakeholder for Business Systems initiatives, ensuring that ERP configurations and mapping logics are maintained appropriately
• Design and implement controls over financial reporting, including identifying control objectives, mapping risks, and determining appropriate control activities across the close and reporting cycle
• Create sustainable, repeatable and scalable processes, including the review and update of process documentation 
• Play a strategic role and serve as the primary liaison between accounting, finance, and the broader business organization for new initiatives and projects
• Ensure timely close through the preparation and review of journal entries, reconciliations and variance analytics, as well as coordination with FP&A 
• Identify and deliver process improvements via automation, AI initiatives and cross functional collaboration

Requirements

• CPA license
• 6+ years of public accounting or private industry experience
• Strong technical accounting and financial reporting knowledge in US GAAP
• Effective verbal, listening, and written communication skills
• Ability to work in a fast-paced environment and address difficult situations in a professional manner
• Innovative and able to provide “outside of the box” solutions 
• Passion for having an owner’s mentality towards responsibilities and for career growth
• Experience implementing and improving business processes and systems
• Strong interpersonal skills and ability to manage deadlines effectively
• Proficient in Microsoft Excel and Google Sheets

Bonus Points

• A combination of public accounting and private industry experience
• Relevant experience in credit card/payment processing 
• Knowledge and experience using AI tools such as ChatGPT, Claude and/or Google Gemini
• Knowledge and experience using NetSuite, Looker and/or other data visualization/ automation software
• Knowledge and experience using DFIN, Workiva or similar financial reporting platforms

Compensation

The expected salary range for this role is $131,000- $163,000. However, the starting base pay will depend on several factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our New York City office (opening March 2026).

About the Team: 

The Revenue Optimization team sits within the Marketplace Operations team and operates as analyst-owners across several aspects of the business. We use deep analysis, data-driven experimentation, and deployment of pricing and supply levers to help Taskrabbit hit its financial targets. We develop and operationalize scalable solutions to optimize outcomes at the mid and bottom parts of our business funnel. 

About the Role

The Senior Business Operations Analyst will lead the end-to-end implementation and optimization of Taskrabbit’s automated enforcement tool, bridging the gap between company policy and technical execution. This role is essential for maintaining marketplace quality and driving revenue growth by spearheading gray market reduction initiatives. You will be responsible for activating policy enforcement mechanisms and providing the analytical rigor necessary to track performance, mitigate leakage, and ensure scalable business operations.

Join us in transforming lives, one task at a time.

What You’ll Work On:

• Lead the technical implementation of policies within the Business Rules Engine (BRE), ensuring that high-level business requirements are accurately translated into automated logic to recommence and maintain consistent policy enforcement.
• Own the analysis and tracking of policy enforcement, developing the frameworks and dashboards necessary to monitor system efficacy and the impact of enforcement on the marketplace.
• Drive direct revenue growth by identifying, analyzing, and reducing off-platform transactions through rigorous data analysis and the design of targeted operational tests.
• Design and execute experimental frameworks to test new marketplace rules, measuring their impact on user behavior and platform health before full-scale rollout.
• Collaborate cross-functionally with Product, Engineering, and Operations teams to ensure the BRE evolves in alignment with product roadmaps and regulatory requirements.
• Operationalize marketplace integrity by mapping complex policy workflows, identifying gaps in enforcement, and implementing creative solutions to automate or optimize key business rules.
• Define and monitor KPIs related to policy compliance and revenue leakage, providing actionable insights to leadership that inform broader business strategy.
• Serve as the primary stakeholder for BRE health, ensuring that business logic remains current and effective, preventing the need for manual resource diversion from other departments.

You Should Have:

• A BS/MS in economics, mathematics, statistics, or equivalent analytical experience
• 2-4 years using analytics to drive key business decisions across strategy, marketing, operations, and/or finance
• Experience building data visualizations to inform business decisions (e.g., Looker, PowerBI, Tableau, Sigma, etc.)
• Excellent verbal, presentation, and written communication skills
• Experience with SQL and large volumes of data 
• Great attention to detail and quality
• Experience translating technical topics to non-technical audiences
• A knack for working with cross-functional partners to reach the right solutions 
• An ownership mindset determined to get things done
• A willingness to learn how true two-sided marketplaces function

Nice to Have: 

• Experience with Python
• Experience presenting to C-level executives
• Experience gathering, distilling, and providing requirements to technical engineering and data teams
• Proficient in statistical techniques and concepts (regression, power analysis, clustering, etc.)
• Technical understanding of data warehousing/data pipelining solutions
• Experience with a marketplace business model and a global brand
• Love collaborating together with a tight-knit team

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $105,000 - $140,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

Compliance at Brex

The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.

What you’ll do

As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team.  You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
• Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
• Take ownership of the success of our internal controls, spot and scope opportunities for improvement
• Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
• Support vendor integrations and address questions from L1 alert reviewers

Requirements

• 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
• Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
• Technical aptitude in understanding complex money movement across payment methods and rails
• Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
• Familiarity working with AI tools
• Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)

Bonus points

• CAMS Certified 
• Experience using various transaction monitoring systems
• Insatiable curiosity
• Eagerness to learn
• Detail oriented
• Desire to build

Compensation

The expected salary range for this role is $86,784 - $108,480.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

Everlaw is looking for a Data Analyst who transforms raw data into the actionable insights our leadership needs to steer the company forward. Everlaw is at the forefront of legal technology, dealing with massive, complex datasets to help legal teams uncover the truth in high-stakes litigation. Data is absolutely critical in helping our company navigate complex use cases, sophisticated user workflows, and the operational challenges of a high-growth, AI native SaaS business.

You’ll collaborate with Senior Data Scientists, Product Managers, GTM leadership, Software Engineers, and many other partners to dive into our data ecosystem and monitor product performance, track user engagement, and identify trends that inform our company’s strategic roadmap. You will be responsible for ensuring our data remains a "source of truth" by maintaining rigorous quality standards and building intuitive dashboards that democratize information across the company. As a team, we highly value innate curiosity, an eye for detail, and a preference for solving problems collaboratively.

At Everlaw, engineering is key to our mission. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! Think you’re missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team.  

This is a full-time, exempt position located onsite (3 days/week in office) in Oakland, California.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring industry experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
• Transform large datasets into actionable metrics and attributes using SQL and Spark.
• Explore and develop the right repeatable methods for mining insight from large unstructured datasets, leveraging a variety of tools spanning Jupyter notebooks, Looker, and Heap.
• Design and surface metrics that are faithful and precise, while helping the business understand how to drive those metrics.
• Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
• Advise business teams on how to implement scalable, robust telemetry and analytics tracking.

About you

• A Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
• Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
• Experience and proficiency wrangling data using SQL.
• Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
• Understanding of the fundamentals of relational databases and data modeling.
• Strong foundation of statistical methods and probability theory.
• Excellent communication and presentation skills, especially in translating technical information to non-technical audiences.

Pluses

• Experience working with common open source analytics tools such as Airflow or DBT.
• Experience working with distributed processing technologies such as Spark or MapReduce.
• Experience applying machine learning or statistical modeling methods to real world problems.
• Familiar with Git or a similar DVCS.

Benefits

• The expected salary range for this role is between $120,000 - $172,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision
• Flexible Spending Accounts for health and dependent care expenses
• Paid parental leave and approximately 10 days (80 hours) per year of sick leave
• Seventeen paid vacation days plus 11 federal holidays
• Membership to Modern Health to help employees prioritize mental health and wellness
• Annual allocation for Learning & Development opportunities and applicable professional membership dues
• Company-sponsored life and disability insurance
• Find out more about our Benefits and Perks

Perks

• Work in Downtown Oakland, just steps from the BART line and dozens of restaurants
• You will get a powerful Linux laptop and be able to customize your desk setup
• Bond over team lunches and out-of-the-box events 
• Ranked “#1 on G2 for Ediscovery Software and Momentum” and we offer free eDiscovery resources to benefit the greater societal good with Everlaw for Good
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Take advantage of learning and career development opportunities 
• Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
• One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
• One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
• #LI-EJ1
• #LI-Hybrid

We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

ABOUT THE TEAM

We are building the future of situational awareness. Our Sentry platform integrates robotics, autonomy, hardware, and software to deliver mission-critical capabilities in defense and security, with an expanding footprint into commercial markets. With a rapidly growing fleet and new product variants in development, we partner across engineering, manufacturing, supply chain, operations, business development, and more to deliver cutting-edge systems at scale.

ABOUT THE JOB

As the Analytics Engineer for Sentry, you will be at the forefront of transforming raw data into strategic advantages for our business line. This is a hands-on, builder-operator role for a highly technical and strategic individual who thrives on untangling complex, ambiguous problems. You will design, implement, and maintain robust data systems, enabling our teams to make more informed decisions. This role requires a deep understanding of data engineering principles, a strong analytical mindset, and the ability to effectively bridge the gap between technical capabilities and business needs. You will be instrumental in developing data products and tooling that directly impact our operational efficiency, product development, and overall business strategy.

WHAT YOU'LL DO

• Build and maintain data pipelines and analytical systems: Design data workflows that ingest, transform, and model data from diverse sources (deployment systems, inventory databases, monitoring tools, business systems), ensuring data quality and accessibility
• Develop dashboards and analytics that shape decision-making: Create data products ranging from ad hoc analyses for rapid iteration to scalable dashboards and trackers that provide visibility into deployment tracking, inventory status, component lifecycle, fleet performance, and system reliability
• Own the full product lifecycle: Act as PM, designer, and builder for analytics tools—defining requirements, designing user experiences, building technical solutions, and iterating based on user feedback
• Collaborate to bridge technical and operational needs: Partner closely with cross-functional teams to understand their data challenges and translate them into effective data solutions, working within systems like ERP, MRP, and other operational platforms
• Drive operational efficiency through data analysis: Perform quantitative analyses including deployment data validation, inventory reconciliation, trend analysis, variance investigation, and root-cause analysis to identify bottlenecks and optimize processes
• Enhance Sentry fleet management and sustainment: Utilize data to understand fleet performance in the field, optimize deployment strategies, and improve the efficiency of sustainment operations for the growing Sentry fleet
• Iterate based on feedback and evolving requirements: Continuously improve data products by incorporating stakeholder feedback and adapting to changing operational needs as Sentry scales
• Document and champion data quality: Ensure data definitions, business logic, and methodologies are well-documented and understood across teams, promoting data literacy and self-service capabilities

REQUIRED QUALIFICATIONS

• 5+ years of professional experience in an analytics-focused role (Analytics Engineer, Data Engineer, Data Analyst, or similar)
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math, Operations Research, Computer Science) or equivalent practical experience
• You're technical—you are data-driven, understand systems, and can write SQL and Python (or similar analytical languages) to manipulate and analyze data.
• You're a builder—you take ownership end-to-end, from defining the problem to designing the solution to building and deploying it
• You're clear—you communicate effectively in both technical and non-technical contexts, translating business problems into data solutions
• You have a strong bias for action and a preference for designing better solutions rather than patching around existing problems
• You thrive on untangling complex, messy problems and are energized by creating order from chaos in a rapidly evolving operational environment
• Ability to work cross-functionally with engineering, product, supply chain, and operations teams to drive outcomes
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Tableau, Looker, Power BI, Streamlit, or similar
• You can build full-stack solutions, including frontend development with React or similar frameworks when needed
• Familiarity with data pipeline concepts, ETL processes, or data engineering principles
• Experience working within business systems (ERP, MRP, MES, inventory management platforms) or supply chain analytics
• Background in hardware product lifecycle operations, manufacturing environments, or complex hardware/software systems
• Experience with monitoring and alerting tools (DataDog, Grafana, or similar)
• Knowledge of reliability engineering metrics (MTBF, failure analysis, deployment tracking) or fleet management concepts
• Background working in fast-paced environments without a playbook, particularly in hyper-growth or startup settings
• Experience in defense, aerospace, robotics, autonomy, or mission-critical technology environments

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

THE ROLE

We are seeking a proactive and detail-oriented operation specialist to join Marketing Operations. This role owns end‑to‑end marketing budget operations in Allocadia and related systems, and leads the design and delivery of performance metrics, dashboards, and insights that guide investment decisions across Marketing. The ideal candidate combines strong financial acumen, marketing analytics expertise, and a proven ability to collaborate across Marketing, Finance, BI, Procurement, and GTM teams to drive operational excellence and data‑driven decision making.

WHAT YOU'LL DO

Steward and optimize marketing budget management

• Own day‑to‑day administration of Allocadia for Marketing, including user access, hierarchy management, and mapping of unmapped actuals and POs.
• Manage the Marketing Operations Team’sbudget to land within +/‑ 2% of target across fiscal periods through disciplined forecasting, reconciliation, and risk/opportunity management.
• Lead monthly and quarterly reconciliations between Allocadia and financial systems (e.g., SAP, Netsuite) to ensure data accuracy and alignment with AOP and Manager Targets.
• Investigate and resolve data discrepancies between Allocadia and financial systems, proactively troubleshooting issues with financial reporting, missing actuals, and system variances to ensure data integrity.

Lead systems integrations and process improvements

• Partner with Procurement, Finance, IT to design, test, and implement changes to PR/PO/actuals integrations (e.g., SAP/Netsuite to Allocadia), including new cost center and GL structures.
• Establish monitoring, UAT, and validation routines to prevent data misalignment that could impact reporting, financial close, or compliance.
• Identify and implement enhancements in Allocadia and related tools (e.g., Appsheet/Smartsheet, Salesforce) that improve spend tracking across regions, programs, and campaigns.

Drive campaign performance measurement and insights

• Design and evolve marketing performance frameworks and metrics (e.g., MIP, MIP‑Q, MIB, ROI, cost per eligible response, contacts per persona) 
• Deliver recurring insights (monthly/quarterly) on campaign performance vs. plan, including YoY trends, target attainment, and optimization opportunities.
• Maintain and improve calculators and models (e.g., FMM, Global Program, top‑down investment models) that connect campaign investments to pipeline, bookings, and performance by theater, function, and campaign.

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s degree in Finance, Accounting, Business, Economics, Data Analytics, or a related field.
• 7–10+ years of experience in Business Operations, Finance or Marketing Analytics, with a strong focus on budget management and performance reporting.
• Hands-on expertise with Allocadia (or equivalent MRM) and financial systems (e.g., SAP, Netsuite), including integrations, reconciliations, and hierarchy management.
• Proven experience building executive dashboards and performance reports (e.g., Tableau, Looker, or similar BI tools).
• Strong analytical skills and attention to detail; able to connect financial, funnel, and campaign data into clear insights and recommendations.
• Excellent communication and stakeholder management skills; comfortable working with executive leadership and cross‑functional teams.
• Ability to manage multiple projects and deadlines in a fast‑paced, matrixed environment.

#LI-ONSITE

The Impact You'll Be Contributing to Moloco:

As a Growth Strategist at Moloco, you’ll play a key role in enhancing customer relationships, optimizing product performance, and driving revenue growth. You’ll contribute to the company’s success by working across teams, solving complex challenges, and ensuring clients get the most out of our AI-powered solutions. Your work will help Moloco scale efficiently and maintain its leadership in the programmatic advertising space.  You will get the full experience and learnings from a dynamic startup based in Silicon Valley made up of industry leaders who are experienced, data-driven, motivated, and humble.

Responsibilities:

Customer Relationship Management

• Own day-to-day customer relationships, acting as a trusted partner and delivering exceptional client service.
• Lead multiple partnerships, client meetings, and business reviews.
• Communicate effectively across multiple mediums (oral and written), both internally and externally, ensuring progress against goals is transparent and well-documented.
• Prioritize client needs and ensure timely, thoughtful service with high attention to detail.

Product Knowledge and Optimization

• Become an expert in Moloco’s products and industry to provide insightful education and recommendations to clients.
• Oversee the setup and monitoring of client campaigns, proactively identifying opportunities for expansion, experimentation and optimization.
• Utilize data tools (e.g., SFDC, Moloco Cloud Platform, Looker) to analyze performance, produce reports, and advise clients on next steps.
• Effectively manage cross-functional work streams when needed to identify and fix technical problems.

Revenue Growth

• Develop and execute strategies to drive upsell and cross-sell opportunities, balancing short-term gains with long-term client success.
• Use data-driven storytelling and problem-solving to influence stakeholders and drive revenue growth.
• Maintain deep knowledge of client businesses and align Moloco’s solutions with their evolving needs to capture new revenue.
• Identify and pitch incremental opportunities that are aligned to client’s growth objectives and scale accordingly in partnership
• Effective objection handling through problem solving and creative thinking to drive revenue.

Process and Product Improvement

• Proactively identify opportunities to improve internal processes and collaborate cross-functionally to enhance the quality and efficiency of our services.
• Provide market feedback to influence product development, working with Product, Data Science, and Engineering teams; ensuring Moloco continues to meet client needs with cutting-edge solutions.

Team Collaboration and Culture

• Foster a team culture of accountability, collaboration, and high performance, taking ownership of challenges and driving long-term solutions.
• Evidence of a growth mindset. Demonstrate persistence, positivity, and grit in problem-solving while sharing feedback and information to help the team succeed.
• Embrace diverse perspectives and promote respectful disagreement resolution to achieve the best outcomes.

Skills, experiences, and mindset that will help you succeed

• 3+ years of experience in account management, preferably with experience in programmatic marketing or the mobile advertising industry.
• Translate advertiser marketing needs into clear, data-driven strategies that align Moloco’s programmatic solutions with client KPIs, simplifying complex data for decision-making.
• Strong ownership mentality, with a proactive, data-driven approach to solving problems and influencing decision-making.
• Familiarity with big data, MMPs, mobile app ecosystem and ad tech.
• Strong skills in excel, powerpoint/slides, g-suite preferred.
• Excellent communication and interpersonal skills, with the ability to interact effectively with both clients and internal teams.
• Growth-mindset to thrive in a startup environment.
• A collaborative mindset, with a passion for driving cross-functional projects and delivering results.
• High sense of urgency, with the ability to thrive in a fast-paced, dynamic environment.
• Strong attention to detail, coupled with the ability to prioritize effectively across multiple clients and projects.

More About the Role:

Do you want to be at the forefront of the AI revolution in advertising? At Moloco, we aren’t just following the trend, we're changing the game for the biggest mobile app companies in the Americas. Founded by the brilliant minds who built much of Google's cutting-edge advertising technology, our mission is to bring that same powerful AI to everyone. At the core, Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data.

The Growth Analyst Program is our high-impact career accelerator for ambitious new graduates. This isn't a "shadowing" role; it’s a launchpad into the world of advertising technology, strategy, and high-stakes client partnerships.

Why Join Our Program?

As a Growth Analyst in Moloco’s Sales organization, you’ll be at the forefront of catalyzing the adoption of cutting-edge AI technology by the digital advertising market. Day-to-day responsibilities include supporting client success by managing campaign performance, analyzing data, and ensuring smooth day-to-day operations. You’ll work closely with cross-functional teams and customer-facing colleagues to deliver exceptional service, optimize results, and drive measurable business growth.

This role offers the kind of hands-on experience and strategic exposure often found in consulting — but with real ownership from day one. You’ll strengthen your problem-solving, communication, and data-driven decision-making skills in a fast-paced, high-growth tech environment.

As part of the program, you’ll join a cohort of peers and benefit from:

• Executive Mentorship: Direct access to the leaders shaping the future of programmatic advertising.
• Skill-Building for the AI Era: Master data storytelling and executive-level Quarterly Business Reviews (QBRs)
• Consulting Rigor, Startup Speed: Gain the strategic depth of a top-tier consultancy with the ownership and agility of a high-growth tech unicorn.
• Defined Career Pathing: Long-term pathways into leadership roles across Product, Marketing, Strategy, or Operations.

Key responsibilities include:

Partner Success & Collaboration

• Support the day-to-day execution of client campaigns and assist with ongoing account maintenance.
• Help prepare materials for client meetings and business reviews.
• Communicate clearly and effectively with internal teams to ensure client needs are being met.
• Maintain organized and consistent documentation and client communication to help track progress and deliverables.
• Develop a working understanding of each account's business objectives and competitive landscape to help inform proactive, strategic, and insight-driven recommendations.
  
  

Product Knowledge & Campaign Management

• Learn the ins and outs of Moloco’s products and develop a strong understanding of our clients’ goals.
• Assist with campaign setup and monitor performance using internal tools (e.g., Moloco Cloud Platform, SFDC, Looker).
• Surface insights and performance trends to the broader team to inform optimizations.
• Support in troubleshooting issues and coordinating with internal teams to find solutions.
  
  

Data Analysis & Growth Opportunities

• Analyze campaign data to identify trends and areas for improvement.
• Support in preparing reports and performance summaries to inform client strategy.
• Learn to identify upsell or optimization opportunities alongside more senior team members.

Process & Team Support

• Help document internal workflows and look for ways to improve team efficiency.
• Collaborate with cross-functional partners to gather insights and feedback on client needs.
• Share learnings and best practices with the team to support continuous improvement.

Team Culture & Learning

• Bring a positive, solution-oriented mindset to your work.
• Demonstrate curiosity, ask thoughtful questions, and show willingness to grow through feedback.
  Embrace collaboration, diversity of thought, and respectful communication in all interactions.

The skills, experiences, and mindset that will help you succeed

• Demonstrated experience or high comfort using AI tools to enhance productivity and sharpen your problem-solving and strategic insights.
• Ability to translate goals into clear action steps—you're organized, detail-oriented, and eager to learn how to connect strategy to execution.
• A problem-solver who takes initiative and is excited to work with data to drive decisions (even if you're just getting started).
• Skilled at using modern AI tools to supercharge productivity with spreadsheets, slide decks, and basic reporting tools (Excel, Google Sheets, Slides, etc.).
• Strong written and verbal communication skills—you know how to ask good questions, share updates clearly, and collaborate effectively.
• Willingness to learn about big data, mobile advertising, and programmatic marketing—even if you're new to it.
• You’re comfortable consistently adapting to new tools and workflows
• You demonstrate extreme ownership and grit in long-term problem solving. You don't just "accept" feedback—you actively solicit it to sharpen your skills and contribute feedback that makes your teammates better. You’re signing up to work hard, break down silos, and prioritize team wins over individual visibility.

Minimum Qualifications:

• Graduation Timeline: Completion of a Bachelor’s, Master’s, or MBA by July 2026.
• Location: Ability to work from our San Francisco office 3 days a week (Tuesday -Thursday).
• Start Date: Available to start full-time by July 6th, 2026.

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We’re looking for people who love ontologies - defining domains and writing the code that puts those models into action. Ideally you are passionate about the next generation of defense technology and love building efficient and understandable data models. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards.

WHAT YOU'LL DO

• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• Demonstrated experience with autonomy and process ownership
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Expert with SQL and experience with Python or other programming languages
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The Corporate Operations team builds and defines how the company plans, forecasts, and makes operational decisions across teams, turning strategy into day-to-day execution. 

We sit at the center of the business and take on high-impact, often ambiguous problems that directly affect growth, efficiency, and how the business scales. That means deep-dive analysis, process re-design, and building pragmatic solutions that make the company run better.

We work closely with senior leaders, move quickly, and focus on outcomes. This is a team for people who like solving hard problems, building and iterating, and leaving things better than they found them.

Corporate Operations Analytics is embedded within this team and serves as the quantitative and analytical backbone for corporate planning. We build the dashboards, metrics, and tooling that power planning cycles, executive reviews, and day-to-day operational decision-making.

ABOUT THE JOB

We’re hiring a Data Analyst, Corporate Operations to support and scale Anduril’s corporate planning and operating cadence through high-quality analytics, visualization, and quantitative analysis. In this role, you will translate planning and operational questions into metrics, dashboards, and analyses that inform decision-making. You will be responsible not only for producing rigorous analytical work, but also for ensuring the analytics products you build are reliable, well understood, and continuously improving based on how they are used. This role is ideal for an early-career analyst who is technically strong, thoughtful about system design, and motivated to improve how data is used across the organization.

WHAT YOU’LL DO

• Build and maintain dashboards, scorecards, and analytical tools that track performance against plan and surface relevant risks, to be used in recurring planning and operating reviews
• Iterate on dashboards and analytical tools by incorporating feedback from users and evolving requirements as planning processes mature.
• Perform quantitative analyses including forecasting, trend analysis, scenario modeling, variance analysis, and root-cause investigations.
• Partner with data engineering and platform teams to define data requirements, validate data quality, and ensure analytical outputs are accurate and trusted.
• Document assumptions, definitions, and methodologies to ensure metrics are understood and applied consistently across the organization.

REQUIRED QUALIFICATIONS

• 1–2+ years of professional experience in an analytics-focused role (Data Analyst, Analytics Consultant, or similar).
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math) or equivalent practical experience
• Strong foundation in advanced analytics; ability to write Python, R, SQL, or other analytic languages
• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Looker, Tableau, Power BI, or similar is a plus
• Demonstrated ability to work cross-functionally, aligning diverse stakeholders and driving outcomes
• Ability to thrive in a fast-paced ambiguous environment, balancing detail orientation with strategic judgment
• Must be authorized to work in the United States

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE JOB

The Planning organization plays a critical role in driving operational outcomes by translating demand insights into precise production and procurement signals. Within this group, the Systems & Process team partners closely with Anduril’s Analytics team to build scalable workflows, ontologies, and data models that power planning excellence. We’re responsible for developing the digital twin of our operations—capturing demand, supply, manufacturing, and sustainment data in ways that drive real-time decision-making.

We’re looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You’ll design and implement data models, workflows, and analytical tools that directly improve operational performance—enabling Anduril to plan more effectively at scale.

WHAT YOU’LL DO

• Partner with Planning leadership and Anduril’s Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalize planning workflows and data products across Anduril’s production and sustainment organizations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organizations more effectively through data-driven insights.

REQUIRED QUALIFICATIONS

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• You have strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• You think strategically and execute tactically—you’re just as comfortable designing a planning framework as you are diving into the details of a late supplier PO.
• You bring a data-driven mindset and can turn analytics into action; you know how to interpret demand signals, build plans, and communicate clearly.
• You’re systems fluent, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle), and can partner effectively with technical teams to improve tooling.
• You lead with cross-functional empathy—understanding the needs of engineering, product, deployment, and finance to align priorities and deliver business outcomes.
• You’re comfortable with ambiguity and energized by building structure in environments that are scaling fast.
• You are high ownership, low ego, and value results over credit.
• You anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset—you prioritize velocity and impact, delivering solutions that drive immediate value.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Senior Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 6+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We're looking for people who love delivering value with data - defining ontologies and writing the code that puts them into action. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards. As a Staff Engineer, you should be a player-coach; your role is to set an example for your team and define what great looks like while also being their advocate & mentor. Your leadership should take a high performing team on towards the next level.

WHAT YOU'LL DO

• There is no such thing as a pure manager at Anduril - you'll demonstrate your ability to be both an IC and a people manager.
• Become the Trusted Partner for end to end date flows - your job doesn't end at the boundary of the data warehouse but instead in the business outcome.
• Become an expert in the domain areas of your direct reports and provide them guidance, mentorship, and support.
• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 6+ years of experience in the analytics ecosystem - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• 2+ years in a Lead role, demonstrating autonomy and process ownership
• Experience managing a team in a dynamic environment with shifting priorities.
• Track record of leading cross-functional technical initiatives with measurable business impact
• Experience working with sensitive data and maintaining security protocols
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 2+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

The Role:  

Forge is building a content engine, not a content backlog. Our audience already trusts us for market access, data, and insight across the private market. The next chapter is about earning a bigger role in how investors, operators, and institutions understand what’s happening and what’s coming next. Content is central to that ambition. 

As Director of Content, Marketing, you’ll take everything that’s unique about Forge: deep proprietary data, researchers with real-time market insights, and differentiated products and turn them into distinctive, authoritative storytelling that only Forge can deliver. You will build the next evolution of our content platform, establishing it as a trusted source of clarity and perspective on the private market.  

This is a senior, hands-on role for a content visionary who is a gifted storyteller and thinks like an editor-in-chief, a strategist, and an operator. You’ll define Forge’s voice and editorial point of view, build scalable programs and franchises (not one-off assets), and ensure content contributes meaningfully to brand strength, engagement, and business outcomes. 

You’ll lead the content strategy end to end, owning what we make, why we make it, where it lives who consumes it and how it performs, while partnering closely with executives, thought leaders, fellow marketers, Product, Research and other cross-functional teams to surface differentiated insights and voices supporting the Forge brand.

Location: This role requires 2-3 days a week in office in San Francisco, CA

Responsibilities:   

• Define Forge’s editorial voice and point of view: Own and evolve how Forge shows up and stands out. Set clear standards for storytelling, tone, and rigor across everything we publish, from flagship research and thought leadership to web content, videos and sales enablement.
• Build durable content franchises: Create repeatable formats and programs that audiences recognize and return to, including research-led narratives, educational series, and ongoing market commentary. Move the organization away from one-off content toward scalable, compounding impact.
• Drive content strategy across the funnel: Design and run a content system that serves multiple audiences, institutions, individual investors, private company leaders, and internal teams, while aligning to clear goals across awareness, engagement, conversion, and retention.
• Lead content operations, excellence and execution: Set quarterly priorities, editorial calendars, and success metrics. Orchestrate production across internal teams, freelancers, and agency partners, and stay personally involved in high-impact content creation.
• Translate complex concepts and ideas into compelling stories: Turn private market data, analysis, and product insights into clear, credible, and engaging content that helps audiences make sense of a complex financial topic.
• Scale intelligently with AI: Design workflows that responsibly leverage AI to increase speed, consistency, and ambition, without sacrificing judgment, accuracy, or voice. Bring a clear point of view on where AI adds value and where human expertise matters most.
• Tie content to measurable outcomes: Establish and operationalize metrics that evaluate content effectiveness. Use performance insights to test, iterate, and continuously raise the bar.

Qualifications:   

• 7-10 years of proven experience leading integrated, multi-format content strategies that build brand authority and drive awareness, acquisition, SEO, and engagement.
• Strong editorial judgment with the ability to identify and deliver timely, high-impact stories with exceptional writing and fluency in modern content ecosystems, including distribution, audience growth, and performance measurement.
• Deep expertise in private markets (venture capital, private equity, primary and secondary) and translating complex, regulated topics into clear insights.
• Understanding of target audiences including mass affluent, HNW/UHNW individuals, families, intermediaries, and institutions.
• Practical perspective on using AI to improve content creation and operations.
• Able to define long-term strategy and execute key initiatives hands-on.
• Physical requirements: operate a computer up to 8 hours/day and communicate detailed information verbally and in writing.

Preferred Qualifications:  

• Experience leveraging AI and Analytics tools (AirOps, Heap, Looker) 
• Data visualization expertise and fluency with Flourish and Figma 
• Experience partnering with financial influencers and content creators
• CFA or FINRA qualifications 
• Asset management, financial services or fintech experience strongly preferred

For residents of San Francisco, CA the annual salary range for this role is $145,000 - $165,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

We're hiring a RevOps Manager to own variable pay and quota-setting across our GTM organization, automate the majority of this cycle, and support/automate other RevOps functions - from analytics and forecasting to process improvement and tooling. 

Who You Are

Required:

• 3+ years in revenue operations, sales operations, sales compensation,  finance, or a closely adjacent function, with hands-on ownership of sales comp work
• Daily working fluency with AI tools (Claude, Cursor, ChatGPT, n8n, Replit, or similar)
• At least one shipped agentic workflow, internal tool, or skill that took real work off your plate or someone else's, with specifics on what it does and what it saves
• Comfort directing AI to write SQL and validate outputs against source data. Independent SQL fluency is a plus
• Cross-functional working style with Finance, Legal, and Sales leadership
• Judgment under pressure during compressed close windows

Nice to Have:

• Experience designing or improving quota-setting methodologies
• Audit support experience, with a habit of flagging issues in comp data, plan mechanics, or payouts before they escalate
• Familiarity with usage-based comp plans and the attribution challenges they create
• Experience with commission management platforms 
• Exposure to Salesforce data model, dbt, and BI tooling (Mode, Looker)
• Experience leading or co-leading an annual comp plan redesign

What You'll Do

AI & Agentic Automation

• Translate the existing SQL-and-spreadsheets comp process into agents, skills, and workflows so each cycle takes less manual work than the last.
• Examples we'd want to see from you in your first year: a payout-audit agent that pre-flags discrepancies against source data, a methodology skill that drafts and pressure-tests plan changes, an n8n workflow that routes rep escalations to the right reviewer, a Replit app that lets sales managers self-serve crediting questions, an agent that builds rep statements and explains the math.
• Tools we use today: Claude, Cursor, ChatGPT, n8n, Replit. You don't need a software engineering background. You do need a track record of shipping automations that took real work off someone's plate.

Comp Operations

• Run monthly and quarterly comp cycles for all GTM teams. Resolve discrepancies, reconcile with Finance and Payroll, run close QA. On-time cycles, errors caught before they escalate.
• Own the quarterly target-setting pipeline. Collect inputs, generate targets, drive approvals with the VP of Sales and CFO, finalize and distribute target packages. Partner with analytics on dashboards that make targets transparent to managers and reps.
• Handle new-hire guarantees, crediting exceptions, split credit decisions, LOA and territory moves, SPIFF design and payout, and manager-level comp questions. Sales and Finance judge the function on these calls.

Forecasting & Pipeline Analytics

• Own weekly and monthly forecast roll-ups across our GTM segments. Pressure-test rep and manager calls against pipeline data. Surface gaps to the VP of Sales and CFO before they show up in QBRs.
• Build and maintain pipeline dashboards covering coverage, stage conversion, velocity, and aging. Tie metrics back to compensation so managers see the full picture.
• Partner with FP&A on bookings forecasts, attainment modeling, and capacity planning for the next fiscal year.

Plan Design & Methodology

• Lead the annual comp planning cycle. Frame the plan, construct it across teams, run review and approval cycles with the CFO, CEO, VP of Sales, and other leadership. Manage Legal review and acknowledgment. Run the rollout. Own the retrospective.
• Bring a point of view on how plans are designed, how targets are set, and how the process runs. Identify changes that improve fairness or speed, then ship them in the next cycle.

What Success Looks Like

• First 90 days: Complete monthly comp cycles, partner on a quarterly cycle and one target-setting cycle. Know every plan and the people who own them. Ship your first agent or workflow that takes a piece of the cycle off the team's plate.
• First 6 months: Own a quarter-close from source data through payout. Propose specific changes to the operating process, backed by hours saved from the automations you've shipped. Take on forecasting & pipeline analytics work and partner on your first forecasting cycles
• First 12 months: Lead the annual plan design & capacity planning process. Show a portfolio of automations that save time in every subsequent cycle. GTM and Finance leaders bring comp questions to you first.

For CA-based applicants:

The base salary for this position is $130,000 - $170,000.

This position is eligible for equity in the form of stock options.

This position is eligible for Instawork benefits, including:

• Medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

A variety of factors are considered when determining someone's compensation, including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

Job Summary: 

iHerb is a multi-billion dollar, global powerhouse in health and wellness that has experienced some of its fastest growth internationally despite being headquartered in the United States. We are masters of global logistics, operating in 180 countries including major markets like Saudi Arabia, Korea, and Japan where we are the #1 brand and a household name. 

With over 40 million customers globally, iHerb is upgrading and expanding its retention marketing team. As we expand our CRM capabilities, we’re seeking a data-driven, highly organized CRM Program Manager to own key marketing channels and programs that drive engagement, retention, and lifetime value.  The CRM Program Manager will take full ownership of one or more key lifecycle marketing channels or programs — such as Direct Mail (Postcards), SMS/WhatsApp Messaging, and Opt-In Growth across Email, Push, and App.

This role is responsible for defining the strategy, managing execution, and improving performance across assigned programs. The ideal candidate thrives in both strategy and operations: they can identify growth opportunities, prioritize work, coordinate cross-functional efforts, and manage the metrics that matter — from opt-in rates to engagement, conversion, and retention.

Job Expectations: 

• Serve as the end-to-end owner for assigned CRM channels (e.g., direct mail/postcard, SMS/WhatsApp, push, or opt-in programs).

• Define the strategy, roadmap, and KPIs for each program, aligned with iHerb’s customer lifecycle and retention goals.

• Manage campaign planning and execution across owned channels, ensuring accurate targeting, personalization, testing, and delivery.

• Develop segmentation, audience rules, and message frameworks to improve relevance and performance.

• Oversee creative development and review processes for all campaigns and customer touchpoints.

• Define key metrics and reporting for assigned channels: opt-in rates, delivery rates, engagement (CTR, open, click), conversion, and revenue contribution.

Knowledge, Skills and Abilities:

• Strong communication skills: listening, verbal, and written

• Strong analytical skills and comfort with data, metrics, and dashboards (Excel, Looker, Tableau, or similar)

• Highly proficient in excel and project management tools (Asana)

Experience Requirements:

• 7+  years of marketing experience in CRM or retention marketing

• Proven experience managing one or more CRM channels — such as direct mail, SMS, push notifications, or email.

• Demonstrated ability to prioritize, manage multiple initiatives, and work cross-functionally.

• Strong project management and organizational skills — able to translate vision into clear execution plans.Strong analytical skills and familiarity with data tools (Excel, SQL, Tableau/Power BI).

• Experience with direct-to-consumer brands preferred.

• Asana, Confluence, Jira experience preferred

#LI-LR1

Job Summary: 

iHerb is a multi-billion dollar, global powerhouse in health and wellness that has experienced some of its fastest growth internationally despite being headquartered in the United States. We are masters of global logistics, operating in 180 countries including major markets like Saudi Arabia, Korea, and Japan where we are the #1 brand and a household name. 

With over 40 million customers globally, iHerb is upgrading and expanding its retention marketing team. The Marketing Analyst, CRM & Retention will play a key role in providing the insights, reporting, and analytical rigor that power iHerb’s customer relationship marketing programs.

Reporting to the Sr. Manager of Retention, this role partners closely with CRM managers and channel owners (Email, SMS, Push, Direct Mail, Rewards, and Autoship) to measure performance, identify growth opportunities, and guide data-driven decision-making. The ideal candidate is curious, detail-oriented, fluent in data, and passionate about using analytics to improve the customer experience and drive measurable results.

This role is less about creating reports and dashboards, and more about mining our vast treasure trove of data (29 years, 180 countries, over 40 million customers across 60K products). We are looking for a smart, self-motivated analyst to discover new insights about our customers. The right candidate has a relentless drive and curious mind, asking the right questions about the drivers of lifetime value and customer retention or attrition.

Job Expectations: 

• Analyze performance of CRM campaigns and lifecycle programs to identify drivers of engagement, conversion, and retention.

• Conduct deep dives into customer segments, behavior patterns, and opt-in journeys to uncover opportunities for optimization.

• Translate findings into actionable recommendations and present findings clearly and persuasively through dashboards, visualizations, and presentations.

• Own the customer cohort model, and forecasting retention rates and repeat customer spending as part of the overall annual company budget process.

• Work with product, data, and marketing operations to ensure accurate data pipelines and tagging for campaign tracking.

Knowledge, Skills and Abilities:

• Advanced SQL knowledge.

• Familiarity with ecommerce datasets including Google Analytics.

• Strong communication skills: listening, verbal, and written

• Strong analytical skills and comfort with data, metrics, and dashboards (Excel, Looker, Tableau, or similar)

• Highly proficient with excel and google sheets

Experience Requirements:

• Bachelor’s degree in Analytics, Marketing, Statistics, Economics, or related quantitative field.

• 3+ years of experience in marketing analytics, CRM, or retention in an e-commerce or DTC environment.

• Proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Power BI, or Looker).

• Strong Excel/Google Sheets skills and comfort working with large datasets.

• Understanding of digital marketing and CRM metrics (opt-in rates, CTR, CVR, churn, LTV, CAC, etc.).

• Highly organized, detail-oriented, and proactive in identifying trends or anomalies.

• Knowledge of Python or R for advanced analytics a plus.

#LI-LR1

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that drive decision-making across Sales, Marketing, Finance and Revenue Operations.

This internship is designed as a hands-on, high-ownership experience centered around building new and/or migrating existing business-critical dashboards from Looker to Tableau, analyzing data models, performing data validation and producing documentation. You will deeply understand the underlying data, validate business logic, and improve the overall analytics foundation.

The ideal candidate is analytically curious, detail-oriented, and eager to learn how modern data teams operate. You should be comfortable working with data, asking questions, and translating business needs into structured analysis.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

What You'll Do.

• Dashboard Migration: Own the migration of dashboards from Looker to Tableau. Recreate charts, metrics, and filters while ensuring consistency with existing outputs. Develop a deep understanding of underlying queries and business logic to ensure accuracy.
• End-to-End Dashboard Development: Design and build a new Tableau dashboard from scratch using the data models you helped develop. Apply best practices in data visualization to deliver clear, actionable insights.
• Data Modeling & Transformation: Work with dbt to transform raw data into clean, analysis-ready models. Standardize metric definitions, optimize data structures for performance, and ensure models are scalable for business use.
• Data Validation & QA: Validate dashboard outputs against business expectations. Reconcile discrepancies between Looker and Tableau, test edge cases (date ranges, filters, segments), and identify logic or aggregation mismatches.
• Dashboard Documentation: Document key dashboards, including purpose, stakeholders, KPIs, and filters. Define metric logic clearly and capture dependencies across data sources and pipelines to improve transparency and maintainability.
• Data Pipeline Review & Gap Analysis: Review upstream data pipelines to understand how data flows into dashboards. Identify gaps such as missing data, delays, or schema inconsistencies, and recommend improvements to enhance data reliability.
• Final Presentation & Insights: Synthesize your work into a structured presentation. Share key learnings, data quality findings, improvements made, and insights uncovered. Provide recommendations for future GTM analytics investments.

About you

• Currently pursuing a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, or a related field.
• You are available for a 8-10 week full-time internship during the Summer 2026 cycle.
• Strong foundational knowledge of SQL
• Experience with data visualization tools such as Tableau or Looker is required
• Basic understanding of data modeling or transformation concepts and exposure to dbt and Github
• Familiarity with cloud data warehouses such as Snowflake or BigQuery
• Strong attention to detail with the ability to validate data and identify inconsistencies.
• Comfortable working with structured and unstructured data to answer business questions.
• Eagerness to learn how data systems work end-to-end. Willingness to take ownership of projects and work through ambiguity.
• Ability to clearly document work and communicate findings to both technical and non-technical stakeholders.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• This is a non-exempt role with an estimated hourly rate of $37.99 - $53.85/hr, depending on experience.
• Hands-on experience with modern data tools including Tableau and dbt
• Understanding of how data flows from raw sources to business dashboards
• Experience in data validation, QA, and analytics best practices
• Exposure to real-world GTM data and decision-making processes
• Opportunity to present insights and recommendations to stakeholders

Perks

• Oakland HQ: Work from our beautiful, vibrant office in downtown Oakland with a flexible, hybrid-friendly culture.
• Fully Stocked Kitchen: Enjoy catered lunches, a variety of snacks, and premium coffee to keep you fueled.
• Community & Culture: Engage with "Everlawyers" through various ERGs (Employee Resource Groups) and team-building events.
• Wellness Focus: Access to onsite amenities and programs designed to support your physical and mental well-being.

About the Role

As the Head of Customer Success at Frontera Health, you'll own the health and growth of our clinic partner portfolio while also shaping how the CS function operates at scale. You're not just managing accounts — you're building the playbooks, processes, and team culture that determine how we retain and grow customers over the long term.

This is a player/coach role. You'll directly own a handful of key accounts, working hands-on with BCBAs and clinic owners to drive adoption, surface value, and deliver measurable outcomes. At the same time, you'll lead and develop a small team of Customer Success Managers and oversee our Customer Support function, setting the standard for what great looks like across the entire post-sales experience.

The right person for this role operates with ownership. You move fast, build structure where there isn't any, and connect every client interaction back to business impact. You're as comfortable presenting to a clinic director as you are digging into account health data, coaching a CSM through a tough renewal conversation, or rolling up your sleeves to resolve a support escalation.

What You'll Do

Own the Customer Lifecycle (Signature through Expansion)

• You will directly own and manage a select group of key clinic partner accounts, serving as their strategic advisor, primary relationship owner, and escalation point, setting the tone for a service experience that partners consistently describe as exceptional.
• You will own the end to end upsell process by identifying expansion opportunities through usage analytics and AI assisted account analysis, building the business case, leading the commercial conversation, and driving deal closes in partnership with Sales.
• You will develop repeatable upsell motions tied to clear ROI, including expansion triggers, pricing frameworks, and objection handling playbooks, so that expansion becomes a predictable revenue stream rather than an ad hoc effort.
• You will partner with Sales and Product to align on client needs, influence roadmap priorities, and ensure a seamless experience from contract through renewal.

Lead and Multiply a High Performing Team

• You will lead, mentor, and develop a small team of Customer Success Managers and oversee the Customer Support function, driving accountability, growth, and outcomes aligned to company goals.
• You will instill a high customer service orientation across the team, creating a culture where responsiveness, empathy, clinical context awareness, and proactive communication are the baseline rather than the exception.
• You will set the standard for how AI is used across the team by coaching CSMs to integrate AI into their daily workflows such as call prep, QBR creation, health summaries, and client communications, and by establishing norms for quality, accuracy, and responsible use.
• You will build the team's AI playbook by evaluating new tools, defining where AI adds leverage versus where human judgment is non-negotiable, and continuously refining how the function scales without proportional headcount growth.

Drive Adoption, Usage, and Portfolio Health

• You will monitor and analyze account health metrics across the full portfolio using AI augmented dashboards and signal detection, identifying risks early and taking decisive action to protect retention and drive expansion.
• You will build and champion scalable CS playbooks, renewal forecasting models, upsell motions, and support workflows that the full team can execute consistently, all designed from the ground up to leverage AI for documentation, triage, and client facing resources.
• You will use data, along with AI to accelerate the analysis of it, to tell the story of your portfolio by tracking adoption, utilization, upsell pipeline, and client outcomes, and translating those insights into clear recommendations for clients and internal stakeholders.
• You will operationalize AI across the CS and Support motion, from automated health scoring and meeting summaries to dynamically generated training materials and client guides, measurably increasing team capacity and response quality.

Act as the Voice of the Customer

• You will serve as a senior voice for the customer internally, surfacing patterns across accounts to shape product decisions and inform company strategy.
• You will pilot new engagement strategies, including AI driven ones, and share learnings across the team, continuously raising the bar for how CS and Support operate at Frontera.

What You Bring

Experience

• You have 6+ years in Customer Success, Account Management, or a similar client facing role in SaaS or healthcare technology.
• You have 1-3 years of experience leading or mentoring a CS team, with a track record of developing people and driving team level results.
• You have proven experience owning an upsell or expansion number, and you have identified opportunities, built the case, led commercial conversations, and closed deals, whether alongside a Sales counterpart or independently.
• You have experience overseeing or closely partnering with a Customer Support function, and you understand the full post sales and implementation lifecycle and how CS and Support work together.
• Familiarity with ABA practices, behavioral health, or clinical settings is a meaningful plus.

Skills and Mindset

• You bring a deep customer service orientation to the role, treating every client interaction as an opportunity to build trust and holding your team to the same standard, and you believe great service and commercial outcomes reinforce each other rather than trade off.
• You have a demonstrated ability to build scalable processes from scratch, and you don't just execute playbooks, you write them.
• You combine commercial instincts with client empathy, so you can have a direct conversation about pricing, expansion, or value and the client comes away feeling respected rather than sold to.
• You have strong analytical instincts and are comfortable working with account health data, building reports, and using data to prioritize and persuade.
• You have a bias toward action and outcomes, and you measure success by client results and revenue retention rather than activity metrics.
• You have excellent communication skills, including the ability to engage effectively with clinical stakeholders, C suite contacts, and your own team.

AI Competency (Required)

• You have fluency with modern AI tools such as Claude, ChatGPT, or Gemini as part of your daily workflow, using them as a core productivity layer rather than a novelty.
• You have a track record of using AI to produce measurable outcomes, whether that is faster QBR prep, better health scoring, higher quality client deliverables, reduced time to resolution, or scaled coverage without added headcount.
• You have strong prompting instincts and sound judgment about when to trust, verify, or override AI output, especially in clinical or regulated contexts where accuracy matters.
• You bring genuine curiosity about emerging AI capabilities and a desire to bring new tools and workflows to the team.

Tools

Required

• You have experience with HubSpot, Salesforce, or a similar CRM platform.
• You have worked with a dedicated Customer Success platform such as Gainsight, ChurnZero, Totango, Catalyst, or Planhat.
• You have worked with a customer support platform such as Zendesk, Intercom, or Freshdesk.

Strong Plus

• You have experience with a BI or analytics tool such as Looker, Tableau, or Mode.
• You have experience with a product analytics tool such as Pendo, Mixpanel, or Amplitude.
• You have worked with AI native conversation intelligence tools such as Gong, Chorus, or Fathom.

Nice to Have

• You have experience integrating AI tools into a CRM or CS platform, such as AI powered health scoring, call intelligence, or automated summaries.

We have determined a salary range for this position that takes into account several factors including experience, knowledge, education, skills, and abilities. Please note that the salary information is a general guideline and the exact salary will be determined based on the individual’s qualifications and experience, with consideration given to the factors listed above. All full-time employee benefits include a stake in shared success through stock options, health benefits, 401(k) plan, and 4 weeks of PTO per year.

Expected Salary Range in Denver: $160,00 to $190,000

Expected Salary Range in San Francisco: $180,000 to $220,000

Make your impact within a rapidly growing Fintech Company

Reporting to the Director of Revenue Operations, the Sr. Sales Operations Analyst will have the opportunity to collaborate cross functionally with Marketing, Finance, Product, Business Technology (Salesforce), Enablement, and Customer Success. This role will primarily support the Sales team by driving efficiency in the sales process in effort to create a world class sales machine. The role requires you to utilize a broad range of skills on a daily basis including, but not limited to, process improvement, data analysis, and project management. You will be expected to act as a strategic partner and advisor to Sales leadership through your in-depth knowledge and understanding of the sales organization’s data and processes. This is a high impact role that has tremendous career and professional growth potential.  The ideal candidate will be passionate about data and process and interested in working in a rapidly growing SaaS/Fintech company. 

Responsibilities/Duties:

• Analyze and advise on improvements in the sales process, rep execution, data cleanliness, target attainment, and systems to boost productivity
• Manage and improve processes within the sales technology tool stack (Outreach, ZoomInfo, Salesforce, etc.)
• Collaborate with Revenue Enablement and Salesforce development teams to build and evolve processes to improve sales productivity
• Partner with our Revenue BI team to develop resources to track key performance indicators and sales health metrics (productivity, sales cycle, pipeline generation, conversion rates, etc.)
• Proactively initiate and own cross-functional projects end-to-end to create efficiencies in the sales process and improve data quality

We’d love to chat if you have:

• 4+ years of experience in an Sales/Customer operations or an analytical role
• Salesforce and MS Excel mastery (Tableau or Looker is a plus)
• Data mindset with demonstrated aptitude for complex data analysis and passion for data backed decision making
• Strong project management experience with demonstrated ability to effectively manage time, prioritize tasks work within deadlines and manage stakeholders
• Fast mover with drive to iterate
• Takes initiative and goes above and beyond expectations
• BS/BA in Economics, Mathematics, Business Administration, or a related quantitative field

Make your impact within a rapidly growing Fintech Company

BILL.com’s Go-To-Market (GTM) Operations team is the connective tissue across Marketing, Product-Led Growth (PLG), and Sales — building the infrastructure, processes, and programs that enable scalable, data-driven growth. We're focused on creating frictionless user journeys, accelerating platform adoption, and delivering personalized experiences across the customer lifecycle.  

We are currently investing in strengthening our core operational backbone to ensure our data is accurate, our systems are integrated, and our campaigns are executed with precision.

We are looking for a Senior Marketing Operations Manager to serve as the architect and guardian of our marketing technology stack and processes. This person will work closely with GTM leadership to ensure efficient lead management, robust data governance, and seamless integration between our marketing automation platforms and CRM.

This is a critical role that blends technical expertise, strategic process design, and data analysis — ensuring that our marketing engine runs efficiently and that we can accurately measure the impact of our GTM initiatives.

Key Responsibilities

• MarTech Stack Management: Oversee the administration, integration, and optimization of the marketing technology stack (e.g., Marketing Automation, CDP, Direct Mail, etc.) to ensure scalability and performance.
• Lead Lifecycle Management: Own the end-to-end lead lifecycle, including scoring models, routing logic, and hand-offs between Marketing and Sales (SDR/AE) to ensure no lead is left behind.
• Data Integrity & Governance: Collaborate with Data Engineering and RevOps to maintain a clean, unified data ecosystem. Define and enforce data standards, enrichment processes, and compliance (GDPR/CCPA) rules.  
• Campaign Operations: Design and document standard operating procedures (SOPs) for campaign execution, ensuring consistent tracking, tagging, and attribution across all channels.
• Reporting & Analytics: Partner with the Analytics team to build and maintain dashboards that track campaign performance, pipeline attribution, and ROI, providing actionable insights to marketing stakeholders.
• Process Optimization: Proactively identify operational gaps, bottlenecks, and inefficiencies in our GTM motion and design scalable solutions to address them.
• Cross-Functional Alignment: Act as a primary liaison between Marketing, Sales Operations, and Business Systems to align on roadmap priorities and technical requirements.

We’d love to chat if you have:

Required Experience

• 5–7 years of experience in Marketing Operations, Revenue Operations, or a similar technical marketing role.
• Deep proficiency with Marketing Automation Platforms (Marketo, HubSpot, or Inflection.io) and CRM systems (Salesforce).
• Strong understanding of B2B marketing funnels, lead scoring models, and attribution methodologies.
• Experience managing data workflows, including list segmentation, data enrichment, and database hygiene.
• Ability to translate complex business requirements into technical specifications and process diagrams.  
• Experience working with CDPs (Segment, etc.) and data activation workflows is a strong plus.  

Preferred Qualifications

• Certification in major Marketing Automation Platforms (e.g., Marketo Certified Expert).
• Experience in a high-growth SaaS or Fintech environment.
• Proficiency with BI/Analytics tools (Looker, Tableau) and SQL basics.
• Familiarity with PLG motions and how they intersect with traditional inbound/outbound sales motions.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

The Strategist is responsible for partnering with Sales to achieve regional revenue goals, leading the Deal Response stage of the sales cycle to close opportunities. This entails working cross-functionally across GumGum’s Growth Team to prepare recommendations that address the client’s needs and objectives and position GumGum to partner effectively with the client on each potential campaign. 

Success in this position requires the ability to understand client needs, craft solutions that match needs to GumGum’s offerings, project manage, storytell, and prioritize competing response demands.  This role will operate in a fast-paced environment with tight deadlines. Measures of success for this role include RFP Win Rate, Closed Deal Value (i.e., value of won RFPs), Average Deal Size, and quality of partnership (to Sales).

What You'll Achieve

Deal Response Leadership

• Lead creation of the response for every Deal stage opportunity. This includes any deal regardless of size, account, channel, or type (incoming or proactive).
• Drive cross-functional alignment on what to propose throughout the response creation process. This involves preparing for, facilitating, and following up on discussions to brainstorm and review proposed solutions. It may also require pushing back internally and offering alternative solutions. 
• Prepare required response deliverable(s) that are on time and of high quality. 
• As needed, contribute to client follow-up efforts on specific deal responses, such as insights for a check-in email or participation in a response feedback call.

Response Deliverable Creation (Deliverable Quality)

• Prepare response deliverables that succinctly communicate our understanding of the client’s needs and a proposed solution in a manner that differentiates GumGum and is palatable to media buyers.Take a data-driven and analytical approach to storytelling, leveraging data tools and reporting, including but not limited to Looker, Quantcast, and Comscore.

Client Strategy Team Effectiveness

• Contribute to team resources that will maximize the efficiency of response creation.
• Independently prioritize workload, involving manager for help when needed. 
• Work on at least one quarterly strategic initiative to improve the effectiveness of the Client Strategy team overall
• Participate in the Buddy System to foster team-building and growth culture within the Client Strategy team.

Skills You'll Bring

• Bachelor’s degree in business or a related discipline.
• 2-4 years of work experience, ideally in media buying, sales, customer success, business development, or marketing, either in high-growth advertising tech companies or advertising agencies
• Experience developing proposals and pitches
  • Ability to use, or quickly learn, research and reporting tools like Comscore, Quantcast, and Looker
  • Solid understanding of online advertising and how media agencies and brands make decisions 
  • Proficient in PowerPoint and Google Slides

What We Offer

At GumGum, competitive base pay is a part of a total rewards package which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $65,000 - $80,500 annually + a quarterly incentive plan.  The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

About the Role

We are hiring an Associate Operations Process Analyst to support the development of a data-driven operations environment. This role will focus on building dashboards, monitoring performance, and surfacing issues to the appropriate teams.

You will help create visibility into operational health, identify trends or gaps, and ensure the right stakeholders are informed. This is a strong entry-to-mid level role for someone who is analytical, detail-oriented, and interested in how data can improve real-world operations.

Location: This role is an in-person opportunity located at our South San Francisco, CA HQ. We will support relocation should you need it!

What You’ll Do

Build & Maintain Operational Dashboards

• Create and update dashboards that track key operational metrics and performance
• Ensure dashboards are accurate, easy to use, and aligned with team needs
• Support improvements to reporting by refining metrics, definitions, and visualizations
• Help automate recurring reporting where possible

Monitor Performance & Surface Issues

• Track operational metrics and flag anomalies, trends, or performance gaps
• Investigate basic drivers behind issues and provide initial context
• Escalate findings to the appropriate stakeholders for further action
• Support ongoing reporting for key operational reviews

Support Ownership & Coordination

• Help identify and document owners for key metrics, dashboards, and workstreams
• Ensure issues and insights are visible to the right teams
• Assist in tracking follow-ups and maintaining visibility into open items
• Contribute to improving clarity around roles and responsibilities across workflows

Maintain Data Quality & Consistency

• Validate data accuracy across dashboards and reports
• Identify discrepancies or gaps in data and flag for resolution
• Work with data/engineering partners to resolve data issues
• Help maintain consistent metric definitions and documentation

Support Data Accessibility & Adoption

• Help make data more accessible and understandable for operations teams
• Contribute to documentation and basic training materials for dashboards and tools
• Encourage consistent use of dashboards for day-to-day decision-making

What You'll Bring

• 2+ years of experience in operations, analytics, or a related field
• Strong Excel / Google Sheets skills; basic SQL or willingness to learn
• Familiarity with BI tools (Tableau, Looker, Mode, etc.) is a plus
• Strong attention to detail and organizational skills
• Ability to work with data and communicate findings clearly
• Comfortable working in a fast-paced, cross-functional environment

• Preferred Qualifications

  • Exposure to operations, logistics, retail, or field-based environments
  • Experience working with dashboards, reports, or performance metrics
  • Interest in process improvement and operational efficiency

What Success Looks Like 

• Dashboards are reliable, up-to-date, and used by teams regularly
• Issues are surfaced quickly with clear supporting data
• Stakeholders have better visibility into performance and open problems
• Data is consistent and trusted across reports
• Teams are able to act more effectively because of improved visibility

What Else You Need to Know   

The starting cash range for this role is $100,000 - $120,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

About this position:

We’re looking for a Revenue Operations Manager, Customer Operations to own the operational infrastructure that supports Later’s brand customers across our Influence Platform, Managed Services offerings, and Mavely. This role sits at the center of the customer lifecycle—bridging what Sales sells with what our Services and Client Success teams deliver.You’ll be responsible for building the systems, processes, and performance intelligence that ensure contracted revenue converts into efficient, effective customer outcomes.

This is a high-impact role for someone who thinks in systems and outcomes, thrives in cross-functional environments, and enjoys bringing structure to complex, fast-growing businesses.Reporting to the VP of Revenue Operations, you’ll partner closely with Services, Client Success, Sales, and Finance to ensure our customer operations can scale with growth—without sacrificing quality, margin, or customer trust.

What you'll be doing:

Strategy

• Define and own the operational frameworks that ensure sold revenue is delivered efficiently and effectively across all brand customer offerings.
• Establish clear definitions of campaign health, customer health, and operational performance that align Services, Client Success, Finance, and Sales.
• Translate revenue pipeline signals into forward-looking operational insights that inform staffing, prioritization, and investment decisions.

Technical/ Execution

Revenue Accountability & Performance Intelligence

• Own the metrics that answer “did we deliver what we sold, and was it efficient?” at the campaign, customer, and portfolio level.
• Build and maintain reporting that surfaces campaign health, budget utilization, margin performance, and delivery risk.
• Partner with Services, Client Success, and Finance leadership to define what “healthy” looks like and implement early warning systems when campaigns or customers drift off track.
• Develop consistent frameworks for measuring customer health that work across product lines and engagement models.

Sales-to-Services Handoff & Capacity Forecasting

• Own the end-to-end Sales-to-Services handoff process, ensuring accurate, timely, and complete transfer of deal context into execution.
• Build pipeline-to-capacity forecasting models that give Services 30–60–90 day visibility into incoming workload.
• Connect Sales forecasting with Services capacity planning to enable proactive staffing and resource allocation.
• Develop load-balancing frameworks and recommendations that help Services leadership distribute work effectively.

Operational Process Design & Customer Infrastructure

• Design, document, and continuously improve the workflows that move customers from sale through delivery completion.
• Identify friction, bottlenecks, and inefficiencies across customer operations and build scalable, repeatable solutions.
• Define SLAs, efficiency benchmarks, and operational standards that drive consistency across Sales, Customer Operations, and product lines.

Systems & Enablement

• Own the Salesforce data architecture that enables clear visibility into customer and campaign performance.
• Ensure data integrity and system hygiene across the customer and campaign lifecycle.
• Support the systems infrastructure that enables Account Directors, CSMs, and Delivery teams to operate from a shared source of truth.
• Partner with central RevOps and Systems teams on platform enhancements, integrations, and automation.
• Create documentation and enablement resources so teams can effectively use the systems and processes you build.

Team / Collaboration

• Act as a trusted operational partner to Services, Client Success, Sales, and Finance leaders.
• Facilitate alignment across teams by creating shared metrics, processes, and operating rhythms.
• Communicate clearly and proactively to ensure stakeholders understand performance, risks, and upcoming capacity constraints.

What success looks like:

Within your first 6–12 months, success in this role will look like:

• A documented, reliable Sales-to-Services handoff process with clear validation criteria and strong adoption across teams.
• Campaign efficiency and effectiveness reporting that is trusted by Services leadership, Finance, and the executive team.
• A pipeline-to-capacity forecasting model that provides Services with 30–60–90 day visibility into incoming demand.
• Measurable improvements to delivery efficiency and/or margin performance driven by operational process improvements.
• A unified customer health measurement framework—built in partnership with your RevOps counterparts—that works across all brand product lines.
• Recognition as the go-to expert for “how did we do?” and “what’s coming?” questions across the Services organization.

What you bring:

• 4+ years of experience in Revenue Operations, Sales Operations, Business Operations, or Customer Operations within a SaaS, professional services, or solutions delivery environment.
• Proven ability to design and implement cross-functional processes that drive measurable business outcomes.
• Strong command of Salesforce or comparable customer management platforms, including reporting, workflow design, and data modeling.
• Experience with capacity planning, forecasting, or resource modeling that connects demand signals to operational capacity.
• An analytical mindset with the ability to translate data into insight—and insight into action.
• Understanding of services delivery, agency operations, or delivery-based business models; experience in the creator economy or marketing industry is a plus.
• Exceptional written and verbal communication skills, with the ability to document complex processes and influence senior stakeholders.
• Comfort operating in ambiguity and a bias toward building structure where it doesn’t yet exist.
• Experience with project management tools (e.g., Asana, Teamwork) and BI or reporting tools (e.g., Tableau, Looker, Domo, or similar)

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 130,000 - 140,000 USD 

#LI-Remote

The Data Scientist I supports statistical analyses of large datasets, the development and deployment of Machine Learning (ML), multimodal Deep Learning (DL), and Artificial Intelligence (AI) solutions that improve the relevance and value of ads across our Ad Exchange, Contextual Platform, and Attention Measurement Platform. This role focuses on applying strong analytical foundations, building and evaluating ML and DL models, leveraging general AI concepts and techniques, while also partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance, operational decision-making and lead development of new AI products that best serve the business. 

The ideal candidate is curious, data-driven, and eager to develop a strong understanding of the advertising domain and the systems that power large-scale decision-making. You will work with large datasets, contribute to production AI systems, and gain hands-on experience across the ML lifecycle — from exploration to monitoring.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

• Support the translation of business and product requirements into data-driven analyses and ML solutions
• Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML and DL models
• Conduct exploratory data analysis to inform feature development and modeling approaches
• Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models
• Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
• Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members
• Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders
• Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs
• Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring
• Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences
• Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts

Skills You'll Bring

• Bachelor’s degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics).
• 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering.
• Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV.
• Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer.
• Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark.
• Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization).
• Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems.
• Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams.

What We Offer

At GumGum, competitive base pay is a part of a total rewards package, which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $128,000-$130,000 annually. The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and, depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

The Opportunity

The Director, RCM Operations & Performance is the strategic orchestrator of our global revenue engine, reporting directly to the Head of RCM, HIM, & CX. You will hold the high-impact responsibility of synchronizing our high-volume internal offshore team with our specialized onshore RCM unit to ensure clinical activity translates into realized revenue. This is a pivotal role where you will design scalable RCM frameworks, partner with engineering to automate core workflows, and lead the billing implementation for rapid new market expansions. You will serve as the primary source of operational intelligence, providing the critical reporting that allows Corporate Finance to deliver transparent financial health updates to the CFO and Board of Directors.

What you’ll do

• Global Team Leadership: Direct and synchronize the daily workflows of both the internal offshore and specialized onshore RCM teams to ensure high-complexity cases are handled by the right experts.

• Operational Governance: Oversee the end-to-end claim lifecycle, performing weekly audits of adjustment logic and denial resolutions to ensure the global team meets internal quality standards.

• Performance Accountability: Own the primary KPIs for the revenue cycle (Days in AR, Net Collection Rate, etc.) and lead the operational shifts required to fix root causes when targets are missed.

• Market Expansion: Lead the RCM integration for all new clinic launches (e.g., Rhode Island, ECM), managing everything from provider enrollment to front-desk workflow design.

• Clinical Partnership: Act as a liaison to Medical Directors, using data dashboards to help providers understand how documentation and chart-closing speed impact financial incentives.

• Product & Automation Strategy: Serve as the Subject Matter Expert for the engineering team, defining requirements for billing automation and performing UAT for proprietary billing products.

• Critical Reporting: Perform deep-dive research into billing system variances and deliver narrative analysis to Corporate Finance to explain performance to the CFO and Board.

• Financial Close Integration: Partner with Accounting to ensure a timely 5-day month-end close by reconciling billing system activity with the General Ledger.

• Cash Flow & NRV Modeling: Maintain the accuracy of Net Realizable Value (NRV) models and 90-day cash flow forecasts to support corporate capital planning.

• AR Health Management: Conduct advanced aging analysis to determine true collectibility and provide data-backed write-off recommendations to the Accounting team.

• Other duties as assigned.

Who you are

• Minimum 10 years of experience

• Expert-level command of enterprise billing systems (NextGen or equivalent) and national clearinghouses (Waystar or equivalent). (Preferred)

• Power user of Sigma (or equivalent BI tools like Tableau/Looker) with the ability to build custom dashboards and manipulate raw data independently. (Preferred)

• Proven track record of managing the full RCM lifecycle in a high-growth, multi-site corporate environment. (Preferred)

• Experience leading and directing internal offshore teams across different time zones. (Preferred)

• Strong ability to translate complex operational data into clear, professional "critical reporting" for executive leadership.

• "Builder" mindset with the ability to design workflows for new clinical service lines and markets.

• Highly collaborative communicator capable of partnering with Medical Directors, Engineers, and Finance executives.

Benefits

• Stock-options package

• Health benefits include medical, dental and vision

• 401K

• Long-term disability

• Unlimited PTO

• Life insurance

• Paid Leave Program

Our Baseball Data Platform team is looking for a Senior Data Analyst. The vision of the Baseball Data Platform team is to capture the story of baseball through its data. As a Data Analyst at MLB, you will fulfill that vision with play-by-play and Statcast tracking data by supporting our customers, tracking and improving data quality, and leveraging data to deliver insights. You will partner closely with world-class software engineers, data scientists, and subject matter experts with the sports’ richest and most robust data at your fingertips.

Responsibilities

• Investigate potential data quality issues both proactively and responsively
• Lead large data initiatives focused on strategic R&D goals, including increasing the scalability of alerting and resolving of outlier data
• Implement high impact process changes with our support team based on internal operations data and logging
• Achieve comprehensive expertise in Baseball Data Platform. This includes knowing the schema, data lineage, and optimal usage patterns of all critical tables (e.g., pitch-by-pitch data, tracking data, weather data, etc.).
• Respond directly to inquiries from MLB clubs, broadcasters, and MLB leadership
• Define and enforce high standards for data documentation, code review, and statistical best practices within the R&D data team
• Build optimized queries and statistical reports/models, as appropriate, to identify and detect trends and present findings to MLB and Club personnel
• Design and produce reports delivering insights
• Collaborate with the Statcast engineering, product, data science, and content teams to produce the next generation of storytelling metrics
• Manage user accounts, permissions, and security protocols across key systems, ensuring compliance and data security standards are met
• Test/validate new data and metrics, and contribute input to their development
• Serve as the team's go-to resource for complex data problems. This involves assisting teammates with debugging inefficient queries, locating obscure data points, and understanding nuanced data definitions.

Qualifications & Skills

• 2+ years of experience with data related to baseball
• Experience communicating professionally in a customer support role with technical and non-technical users
• Critical thinking skills and the ability to apply analytical insights to create positive change
• Self-motivated to seek out previously unidentified problems, resolve, and then scale them
• Highly collaborative in nature and team-oriented
• Proactive communicator with internal and external stakeholders
• Substantive knowledge of SQL or similar database querying experience
• Experience using R and/or Python for data analysis in a professional setting
• Knowledge of data visualization software like Looker or Tableau preferred
• Familiarity with baseball tracking systems, especially Statcast, is preferred
• Familiarity with data pipeline tools and best practices for scheduled processing and ETL/ELT is a plus
• Ability and desire to travel at times for baseball events and team meetings
• A love of baseball!

Salary Range: $90,000 - $120,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

We're looking for a Staff Data Analyst, Accounting to own the analytical foundation for Accounting and Finance at GoFundMe. This is a domain ownership role - you will be the single point of accountability for how financial data is understood, reported, and improved across Accounting, Finance, and Payments. You'll work closely with Accounting and Finance leadership, partner with Data Engineering to ensure data pipelines meet analytical and audit requirements, and continuously sharpen the quality and depth of financial reporting. Accounting will define priorities and business requirements; you will own how those are translated into scalable data models, automation, and reporting.

If you're someone who gets energized by owning a domain deeply, building rigorous processes, and making financial data genuinely trustworthy at scale then this role is for you.

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.

The Job

• Own the financial analytics domain Be the go-to analytical authority for Accounting and Finance. Define what questions matter, what data answers them, and what rigor is required to trust the outputs. Own this layer end to end, ensuring reporting is traceable to source systems and defensible in audit scenarios.
• Build automation to make Accounting faster and more accurate Turn prioritized workflows into scalable, automated solutions that reduce manual work and increase accuracy. 
• Drive financial reporting and audit readiness Build and maintain reporting that is reproducible, traceable, and audit-ready. Ensure that financial outputs can stand up to scrutiny without requiring Accounting to manually validate underlying data. As GoFundMe scales toward enterprise maturity, you will be a core part of that readiness.
• Partner with Data Engineering on pipeline requirements Translate Accounting and Finance needs into clear data requirements. Guide Data Engineering on what needs to be built, ensure pipelines support completeness, accuracy, and reconciliation at the transaction level,and then own the analytical layer that sits on top.
• Continuously improve financial insights This isn't a "build it and hand it off" role. You'll regularly identify gaps in reporting coverage, surface anomalies in financial data, and proactively bring new analyses to Accounting and Finance leadership. Think about what we don't know yet.
• Manage stakeholders across functions Work independently across Accounting, Finance, Payments, and Data Engineering without needing significant handholding. Translate between what business teams need and what data teams can build. Communicate findings clearly to executive audiences.
• Shape data standards for financial reporting Establish best practices for how financial data is modeled, documented, and validated. Elevate self-service capabilities so Accounting and Finance teams can move faster with confidence.
• Support transaction ledger accuracy and compliance Partner with Accounting and Engineering to ensure accurate reporting and reconciliation of the internal transaction ledger. Validate data completeness and integrity at the transaction level, support regulatory reporting requirements, and build monitoring that surfaces exceptions before they become compliance issues.
• Own data integrity between source systems and NetSuite Monitor pipelines for completeness and accuracy, investigate reconciliation breaks, and resolve root causes independently. If the data doesn't tie, you find out why and fix it.

You

Experience & Education

• 8+ years of experience in data analytics, financial analytics, or a related quantitative role
• Background in finance, fintech, or banking. You understand how financial data flows, what accounting teams actually need, and how to operate in environments where accuracy is non-negotiable
• Experience working with transaction-level financial data and reconciliation processes
• Experience working in or alongside audit-driven environments; familiarity with what it takes to build reporting that meets enterprise or public company standards
• Experience at a company that has gone through IPO preparation or significant enterprise scaling is a strong plus. You understand what "audit-ready" means in practice
• Demonstrated ability to own a domain end-to-end with minimal direction

Core Skills

• Strong foundation in financial reporting, reconciliation, and accounting concepts. You know enough to be a credible partner to Accounting and Finance teams
• Ability to translate ambiguous business problems into structured analytical frameworks with clear outputs
• Ability to think in systems, not just analyses (designing processes that prevent recurring issues)
• Experience automating or replacing manual business processes with scalable data solutions 
• Naturally skeptical of outputs - you pressure-test your own work, catch reconciliation gaps before Accounting does, and dig in when something looks off rather than shipping and moving on.
• Comfortable working across technical and non-technical stakeholders; able to hold your own in both a data engineering conversation and a CFO review

Technical Skills

• Advanced SQL - complex queries, window functions, performance optimization
• Strong experience with data warehousing platforms, particularly Snowflake
• Familiarity with dbt or equivalent data transformation tooling
• Fluent with modern AI tools - you use LLM-based assistants and coding agents as a default part of your workflow to write SQL faster, QA outputs, explore data, and automate repetitive reporting tasks. You understand how to build automations and AI-driven workflows as a deliverable, not just use AI as a productivity tool
• Proficiency in Python or similar for analytical workflows is a plus
• Strong data visualization and BI skills (Looker preferred); able to build dashboards that finance teams actually use
• Familiarity with financial systems (NetSuite, Stripe, Adyen, or similar) is a plus

Leadership & Collaboration

• Operates independently - you manage relationships, set priorities, and drive outcomes without waiting to be told what to do
• Strong communicator - you are able to present complex findings clearly to executive audiences and build trust with non-technical stakeholders
• Process-oriented - you build things that are repeatable, documented, and don't depend on you or others remembering how they work
• Cross-departmental collaboration - you are able to operate with Accounting-led priorities while partnering with Data and Engineering

Preferred

• Previous experience in FinTech, Payments, or Accounting data environments
• Familiarity with GAAP, revenue recognition, and financial close processes
• Experience supporting or preparing for SOX compliance, IPO readiness, or external audits
• Experience with payments domain concepts - transaction flows, chargebacks, reconciliation, and ideally transaction ledger systems or money transmission compliance (BSA, state MTL requirements) - is a strong plus
• Experience translating finance team requirements into data engineering specifications

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $156,500 - $234,500. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

P-1495

At Databricks, we are passionate about enabling Data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

Reporting to the Director, Product Operations, you will lead key projects, collaborate cross-functionally with stakeholders in Engineering, Data Science, HR, and Finance to ensure our systems deliver operational excellence while scaling with the company. This serves as the foundation for data-driven decision making that help drive growth for Databricks. Ideal candidates will have a strong background in business operations with a deep understanding of data management principles and practices.

In this role, you will be leading and supporting Serverless Networking platform projects where you will work across teams to drive launch of external customer-facing networking features and enhance the underlying networking infrastructure that supports our internal product teams

Key Responsibilities:

• Build reports and dashboards for monthly, quarterly, and executive-level reporting
• Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• Establish coding, data management, and documentation standards and best practices
• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• 9+ years of experience in data and analytics, ideally at a SaaS company or large tech company

• Educational Background: Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Systems Thinking: Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Analytical Proficiency: Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Stakeholder Management: Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Strategic Communication: Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

•  

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows
• Operations, Consulting or Strategy experience

Sales at Brex
The GTM team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team.

What you’ll do

As a Relationship Manager for our Startups team, you play a pivotal role in the success and satisfaction of our existing Startup clients by providing the necessary resources, guidance and support. This role requires excellent communication and interpersonal skills, a deep knowledge of Brex products, an understanding of the startup ecosystem and a passion for helping entrepreneurs and finance leaders achieve their goals.

Where you'll work

This role will be based in our San Francisco or New York City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week: Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage a portfolio of approximately 200 companies (Seed through Series B+), serving as the primary point of contact for founders, CFOs, and Chiefs of Staff.
• Maintain deep awareness of each client's financial health, funding status, and growth trajectory to identify and address opportunities proactively.
• Uphold operational excellence through rigorous Salesforce hygiene and proficiency in tools such as Vitally, Gong, Scratchpad, HEX, Looker and LogRocket.
• Drive Net Revenue Retention (NRR) through the proactive expansion of products, including credit card utilization, growing banking deposits, adoption of bill pay, invoicing and travel products.
• Lead deposit acquisition by capturing fresh capital during financing rounds through the strategic positioning of Brex's banking and treasury solutions.
• Execute competitive defense strategies to protect your book of business, cultivating relationships built on trust rather than simple cash incentives.
• Partner through strategic collaboration with cross-functional teams to deliver optimal solutions, products, and services to our clients.
• Prioritize field engagement by targeting in-person interactions with customers by having in-person meetings and touch points.
• Manage event curation by hosting at least one monthly client event, such as intimate dinners, workout sessions, or other curated experiences.

Requirements

• 4+ years of experience in relationship management, account management, sales, partnerships, or a similar role, preferably within the startup or finance ecosystem or saas or banking industry.
• Consistent record of exceeding quota and delivering top performance in competitive sales environments.
• Excellent communication and interpersonal skills, with the ability to build and maintain relationships with diverse stakeholders.
• Proactive and results-oriented mindset, with the ability to work independently and as a part of a team.
• Strong organizational and project management skills, with the ability to multitask and prioritize effectively.
• Ability to analyze data and metrics to drive informed decisions and strategies.
• Strong understanding of the startup ecosystem.

Compensation

The expected OTE range for this role is $181,000 - $226,000. The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance.  Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Finance at Brex

The Finance team is a strategic engine at Brex. We lead planning, forecasting, capital allocation, and ROI analysis — partnering across the business to drive clarity and unlock opportunity. We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them. If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do  

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets. You will join our dynamic finance team and collaborate with senior leadership across various departments.

We are seeking an individual who is passionate about our business, possesses strong analytical skills, and demonstrates strategic thinking to help optimize our commission processes as we expand. The ideal candidate should thrive in tackling challenges and be adept at addressing complex problems with a high degree of organization and attention to detail. Reporting to the Director of Finance, the Finance Manager, Commissions will be key members of the Finance team, responsible for designing, implementing, and managing our commission structures.

Responsibilities 

• Assists in designing and modeling commission and sales incentive plans. Partner with sales management to provide cost-impact solutions and/or opportunities related to commission/incentive designs.
• Own the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures.
• Ensure commission and sales incentive payments have been properly processed.
• Prepare monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections.
• Analyze sales performance data to provide insights and recommendations to senior leadership on commission-related decisions.
• Act as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness.
• Continuously improve and streamline commission processes to enhance efficiency and transparency.
• Respond to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements

• BA/BS degree, preferably in Business, Finance, or Accounting
• 4+ years of relevant finance, commissions, revenue operations, or sales operations experience.
• Experience with implementing and maintaining Captivate IQ.
• Proven track record of leading a team in a distributed work environment
• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions
• Experience retrieving and handling large amounts of data in Excel or other database systems
• Highly self-motivated and stellar work ethic with strong attention to detail

Nice to Have

• Advanced analytical skills and significant knowledge and understanding of US GAAP
• Experience working in a SaaS company or other recurring revenue model business
• Experience with Salesforce, Looker, and Hex 

Compensation

The expected salary range for this role is $155,000-$194,000 USD.  However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 3+ years of experience in data analytics or a related role in a professional setting.
• 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Experience with Python for data analysis, automation, or scripting.
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Design at Brex

Design at Brex creates the experiences that make complex systems feel effortless through thoughtful, scalable design. Whether crafting interfaces, shaping product strategy, or harnessing AI to empower our users, we obsess over quality and clarity. This is a team where creativity meets high craft, and where designers grow by building for ambitious customers.

What you’ll do

You will work with Product and Engineering teams to successfully communicate, evolve, and execute a strong product design standard that showcases Brex as a leader in financial innovation. You are a crucial component of our company’s growth and product launches through your contributions to short and long-term strategic direction, creating and maintaining high visual standards and a strong focus on user needs. You have an owner’s mentality, taking pride in your work and in your team’s work, and view what you do as a part-owner and builder of Brex.

Where you’ll work

This role will be based in our San Francisco or New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities