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 Seattle 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.

Sr. SEO Specialist - Job Description Overview

Okta is seeking a highly skilled and results-oriented Senior SEO Specialist to independently drive high-impact SEO and GEO work across Okta.com. This is a senior individual contributor role that requires full ownership, proactive problem-solving, and senior-level decision-making across technical, content, and analytical SEO initiatives. The ideal candidate demonstrates strong judgment, clear communication, operational rigor, fruitful cross-functional collaboration, and the ability to translate SEO insights into measurable business outcomes with minimal oversight. 

Strategic Leadership & Ownership

• Operate with minimal supervision, taking full ownership of all assigned work and proactively solving problems and identifying opportunities
• Self-initiate SEO checks, QA, competitive research, and the development of new ideas and strategies
• Manage multiple concurrent projects effectively, meeting both deadlines and quality standards while triaging needs based on business impact
• Create and communicate SEO strategy roadmaps with stakeholders and Okta leadership
• Proactively update manager and stakeholders on project status and progress
• Understands how to work in a collaborative team environment and enterprise organization who can be impactful via strong POVs, but can also 
• Stay current on industry changes (SEO, AI/GEO/AEO) and apply new insights to daily work and long-term strategy

Core SEO Execution

• Demonstrate SEO expertise consistent with 5+ years of professional experience, understanding the why behind SEO issues
• Identify and prioritize SEO gaps based on potential business impact and measurable outcomes (acquisition, performance)
• Utilize systems, checklists, and repeatable processes to ensure comprehensive and high-quality analysis and execution
• Maintain a strong working understanding of Okta’s business model and product offerings
• Correlate cause-and-effect relationships in SEO performance to synthesize trends and patterns
• Mentor and enable marketing and non-marketing stakeholders to adopt SEO best practices
• Develop best practice documentation to enable internal teams to self-service

Communication & Delivery

• Provide senior-level insights, synthesis, and actionable recommendations.
• Communicate complex SEO concepts clearly and effectively to both technical and non-technical audiences
• QA all work prior to stakeholder review, have a strong attention to detail, and anticipate stakeholder questions and address them proactively
• Use a self-owned resources and task management system (e.g., Asana) to manage work, files, tools, links, and deadlines with accurate status, ownership, and due dates

Qualifications

• 5+ years of professional experience demonstrating advanced SEO expertise (technical, content, and analytical).
• Knowledge of multiple SEO platforms such as STAT, SEMRush, Lumar/DeepCrawl, Looker Studio, Google Analytics, Google Search Console, Screaming Frog, and more.
• Experience with Adobe Experience Manager (AEM) is a plus
• Passionate about SEO, GEO, content strategy, AI, and digital marketing
• Proficiency in spreadsheets, including, but limited to functions such as VLOOKUPs, % change formulas, conditional formatting, and more.
• Comfortable navigating CMS platforms and making accurate site changes if needed
• Experience with reporting platforms like GA4, Adobe Analytics, Looker Studio, and more.
• Proven ability to leverage SEO tools, AI, and automation to increase efficiency and scale impact.
• Ability to create impactful slide decks, deliverables, and reporting materials for senior-level audiences
• A collaborative mindset that contributes positively to team velocity, quality, and morale.

#LI - Hybrid

#P14372_3362158

We are looking for an innovative, experienced Director of Paid Media to lead our Global Paid Media team within Okta’s fast-paced marketing organization. This isn't a role for someone looking to coast; we need a leader with grit, tenacity, and an inventive spirit to execute complex, full-funnel programs that drive massive pipeline growth for both Auth0 and Okta.

The ideal candidate is a Digital Expert who lives at the intersection of technology and creativity. You are AI-first, process-oriented, and possess the technical depth to navigate a complex B2B ecosystem. As a master of stakeholder management, you are as comfortable deep-diving into performance data with analysts as you are presenting high-level strategy to executive leadership.

What You Will Do:

• Global Leadership: Lead and mentor a high-performing global team of paid media leaders, fostering a culture of innovation, accountability, and continuous learning.
• Full-Funnel Strategy: Design and execute sophisticated, multi-channel paid media roadmaps (Search, Social, Programmatic, ABM) that drive measurable pipeline for the Auth0 and Okta brands.
• Stakeholder Orchestration: Act as a key partner to Sales, Product, and Finance, effectively communicating the impact of paid media on the broader business objectives.
• AI & Innovation: Lead the charge in integrating AI-driven tools and methodologies into our media buying, creative optimization, and reporting workflows.
• Operational Excellence: Build and refine scalable processes and frameworks to ensure global consistency while allowing for regional nuances and agility.
• Budget & Vendor Management: Oversee a significant global budget, maximizing ROI and leading strategic relationships with external agencies and platforms.
• Technical Integration: Work closely with Marketing Ops and Analytics to ensure seamless tracking, attribution, and data integrity across the digital ecosystem.

What You Will Bring:

• Experience: 10+ years in Paid Digital Marketing with at least 8+ years of people management experience. Experience managing global, distributed teams is a significant plus.
• B2B Expertise: A proven track record in the B2B SaaS space, understanding the complexities of long sales cycles and high-intent lead generation.
• Digital Mastery: Deep technical knowledge of the paid media landscape, including advanced bid management, audience architecture, and attribution modeling.
• Resourcefulness & Grit: A "builder" mindset with the ability to navigate ambiguity, solve complex problems, and push through obstacles to deliver results.
• Communication Skills: Exceptional ability to translate complex digital strategies into compelling narratives for a wide variety of roles across the organization.
• Analytical Rigor: A data-obsessed approach to decision-making, with experience in Looker, Tableau, Adobe Analytics, and advanced CRM workflows & integrations.
• Continuous Learner: A natural curiosity for what’s next—whether it’s the latest AI breakthrough or shifts in privacy regulations—and a passion for applying that knowledge.

Does this sound like you? If you are a driven leader who wants to redefine what paid media looks like in the age of AI, we want to hear from you.

#LI- Hybrid

P24311_3341804

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

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

ROLE OVERVIEW  

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

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

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

CORE RESPONSIBILITIES 

Analytics & Insights Delivery 

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

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

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

Revenue Operation Support 

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

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

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

Measurement & Experimentation 

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

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

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

Technical Execution 

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

• Ensure data accuracy and consistency across reporting and analyses. 

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

Cross-Functional Collaboration 

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

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

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

Immediate Focus Areas 

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

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

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

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

Key Metrics & Business Impact 

This role will directly impact: 

• Incremental VMD through improved distribution optimization. 

• Cost per Conversion by identifying and reducing inefficiencies. 

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

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

QUALIFICATIONS 

Required 

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

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

• Proven experience delivering insights that influence business decisions. 

• Ability to work independently on moderately complex analytical problems. 

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

Preferred 

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

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

• Familiarity with experimentation and A/B testing methodologies. 

• Experience partnering with product or engineering teams. 

Leveling & Growth Alignment (Internal Fit) 

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

• Operates independently within a defined business area. 

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

• Partners closely with stakeholders and provides actionable recommendations. 

ABOUT LENDINGTREE

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

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

About QuoteWizard

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

What else you should know:

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

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

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

OUR CULTURE

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

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

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

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

CCPA Disclosure

We are seeking a strategic operator to serve as the force multiplier for our CTO and Engineering Leadership Team. Our 800-person SaaS organization has reached a pivotal scale, product-market fit is strong, velocity is high, and our next stage of growth depends on maturing our internal engine. This role sits at the intersection of strategy, data, delivery, and culture, ensuring that Engineering operates with clarity, efficiency, and alignment.

The Director of Engineering Operations will architect the operational rhythm of the Engineering organization, elevate decision quality through data, drive cross-functional initiatives, and build the systems that enable predictable, high-quality delivery at scale. This is a highly visible, career-accelerating role for a leader who thrives at the point where people, process, and technology meet.

Key Responsibilities

Operational Mechanics & Rhythm of Business (RoB)

· Architect and own the Engineering operating cadence, including QBRs, Monthly Business Reviews, strategic planning sessions, and org-wide communications.

· Drive fiscal and resource governance, partnering with Finance and HR on budgeting, headcount planning, workforce strategy, and cloud cost optimization (FinOps).

· Act as the communication conduit for the CTO—drafting strategic memos, board-facing narratives, and alignment messages for 400+ engineers.

Engineering Intelligence, Metrics & Insights

· Define Engineering “success” metrics, moving beyond vanity KPIs to track velocity, quality, efficiency, and people health (e.g, capital allocation, retention, eNPS).

· Own the Engineering Performance Dashboard, synthesizing complex data sets into clear, actionable insights for senior leadership.

· Lead data-driven interventions, proactively identifying bottlenecks, risks, or delivery challenges and recommending solutions.

Delivery Assurance & Portfolio Management

· Maintain a portfolio-level view of all major engineering initiatives, serving as the CTO’s early warning system for slippage, dependency risks, and scope creep.

· Standardize delivery frameworks—create lightweight yet high-compliance definitions of "Ready" and "Done" to drive consistent execution across teams.

· Oversee major cross-functional programs, ensuring alignment on scope, priorities, and timelines.

Tools, Systems & Workflow Optimization

· Optimize engineering tooling, workflows, and automation, driving adoption of systems (Jira, Confluence, GitHub, CI/CD) that increase velocity and output quality.

· Partner with Engineering and Product to evaluate and implement AI-driven tools and practices that improve productivity, automation, and decision-making.

· Establish training, communication, and safe-use guidelines for responsible and effective AI integration.

Horizontal Initiatives & Cross-Functional Leadership

· Serve as the cross-functional glue between Engineering, Product, Design, QA, Customer Success, and other partners.

· Lead complex, horizontal initiatives such as GRC framework implementations, cloud migrations, or GenAI adoption programs.

· Act as a change agent, driving organizational adoption of new processes, structures, and operating models.

Engineering Business Operations

· Manage operational budgets, vendor relationships, and resource planning.

· Partner with Finance, Talent Acquisition, and HR on hiring priorities, onboarding, and retention efforts.

· Prepare operational dashboards and reporting for executive leadership and the Board.

Leadership & Culture

· Mentor and develop Engineering Operations and Program Management staff.

· Foster a culture of accountability, continuous improvement, operational rigor, and data-driven decision making.

· Strengthen clarity, communication, and alignment across the Engineering org.

· Demonstrate diplomatic authority, the ability to influence without formal power, hold senior leaders (including VPs of Engineering) accountable to commitments, and preserve strong, trust-based    relationship.

Required Experience/Skills

· 8–10+ years in Engineering Operations, Technical Program Management, Strategy/Business Operations, or Software Engineering leadership within a high-growth SaaS environment.

· Strong understanding of SDLC, agile methodologies, CI/CD, DevOps, and microservices architecture.

· Advanced analytical skills with expertise in Excel, Looker, Tableau, or similar tools—able to convert data into executive-ready narratives.

· Demonstrated experience driving AI-related innovation across engineering teams, including evaluating AI opportunities, implementing tools, and influencing change at scale.

· Exceptional communication and stakeholder management skills; ability to influence without authority and build trust across all levels.

· Demonstrated success improving engineering processes, delivery predictability, and cross-functional alignment at scale.

· Experience defining operational frameworks, delivery standards, and KPI systems within a Global Organization.

· Preferred: experience with OKR frameworks, people leadership, or certifications (PMP, Agile, Lean).

This is a rare opportunity to operate at the right hand of the CTO and influence how a large-scale technology organization is steered. You'll gain exposure to executive decision-making, board-level communication, and enterprise-wide strategic architecture.

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 Seattle 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.

P-1495

About Databricks

At Databricks, we are passionate about enabling data 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.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• 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.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• 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: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

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

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

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

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

• 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

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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

Part Time Sales Associate Seattle

Parachute’s mission is to help you feel at home. It’s what inspires our retail store teams to come together every day to enhance the quality of our customers’ lives at home.  Because we believe that when we take care of our home, it takes care of us. 

As a member of our retail team, you’ll play an integral role in building a Parachute community within your local area. You’ll work collaboratively, provide subject matter expertise on all things cozy, and have fun while doing it. We put the customer at the center of everything we do, and we want you to be part of that at Parachute!

What this role entails:

Our Part Time Sales Associates bring energy to the Parachute customer experience, with their expert knowledge of Parachute products and by warmly welcoming everyone to our space.  They are collaborative, action oriented, results driven, and flexible. They possess a strong sense of teamwork and openness that embodies Parachute’s ethos, bringing the Parachute brand experience to customers at the highest standard. 

What you’ll do:

Sales + Service

• Follows direction of Store Manager in upholding daily operations of the store and achievement of Quarterly store KPI's. Contributes to achievement of store KPI's and ensures performance standards are met. Develops a thorough understanding of products and services. Stays updated on new arrivals, features, benefits and pricing. 
• Ensures the best possible customer experience, in line with Parachute's Brand and CX strategy. 
• Effectively communicates information to customers while modeling HOME selling skills; understands concept and why behind the methodology, uses available resources and knowledge to bring the brand experience to life.
• Participates in trade and community events and activations in local markets.
• Resolves customer concerns or issues to a positive outcome by determining the problem, taking initiative to identify and resolve, and taking partnership with Store Manager or other leader when needed. 
• Builds loyalty through in-store experience using CRM data capture, endless aisle and other omni-channel solutions. Utilize the platform to create customer connections, follow up and manage customer relationships.
• Utilizes design service tools as an extension of our customer experience;.

Operations

• Responsible for ensuring accurate timekeeping. Ensures that meal and break procedure is consistently followed.  Regularly review all communications/messages/tasks communicated to the store team as appropriate.
• Knowledgeable POS (point of sale) and CRM (customer relationship management) systems used to drive the business.
• Supports inventory operational excellence: accurate completion of returns, transfers, SFS, BOPIS and donations. Maintains accurate recordkeeping following established procedures. Adheres to established inventory operations requirements, including cycle counts, transfers, inventory prep and TO's.
• Maintains high standards of maintenance and organization of the stock room / BOH area, including organization, safety, and inventory operations. 
• Ensures any maintenance needs are communicated in a timely manner. Utilizes Retail Support Ticket process for all business and operational needs. Submits tickets in a timely manner. 

Visual Merchandising

• ​​In partnership with the Store Manager, follows the Parachute Visual Merchandising strategy. Maintains floor presentation. Ensures brand integrity is reflected to the customer through enhancements in presentation, product & people.
• Support store in the execution of store directives and day to day merchandising needs, as directed by store leadership.

People + Culture

• Share observations with Store Manager as it relates to team, business and community during touchbases and through daily and weekly business recaps.
• Holds self accountable to responsibilities as based on the role's job description and in compliance with all policies and procedures
• Completes training within assigned timeframes, actively learns and follows through on completion and application of learning objectives. 
• Refer candidates for open positions and be engaged in growing and supporting the talent pipeline.

Other duties as assigned. Duties, tasks and responsibilities may change as directed or as needed by the business.

What you need to have:

• Must be available to work a minimum of one weekend day per week, and work during the holiday season.
• Retail sales, showroom or customer service experience is preferred.
• Education - High School diploma or equivalent is required
• Experience using point of sale systems, inventory management software, scanners, barcode labels and shipping programs is preferred
• Self motivated, collaborative, positive team player with a can-do attitude and growth mindset required!
• Ability to lift up to 10 pounds on a regular basis, and lift up to 40 pounds occasionally
• Frequently physically active, including standing, walking, reaching and grasping for long periods of time. Ability to regularly bend or kneel
• Ability to regularly climb ladders or step stools
• Ability to go up and down stairs occasionally, carrying and moving boxes up and down stairs (depending on location)
• Ability to frequently communicate face to face, on the phone or via electronic means

What will help you stand out?

• Experience in, and a passion for, home interiors is preferred.
• Experience with web-based POS and inventory systems is preferred, along with general technical knowledge and aptitude. Systems experience that will give you an edge: Shopify, Netsuite, Looker, Zipline, RetailNext, Deputy, Asana. 

What You’ll Get:

• $100 new hire gift card and free product for a great night’s sleep!
• Generous 40% employee discount on most Parachute products
• Flexible schedules
• Quarterly bonus program + incentives
• Up to 9 days of sick time per year
• Holiday pay
• Voluntary commuter benefit program through Optum
• This is an hourly (non-exempt) role that has a pay range of $21.30- $23.00 per hour dependent upon experience

Our Commitment to You

We believe in the power of a diverse workplace. Which is why we are committed to actively recruiting and hiring people of all races, religions, colors, national origins, genders, gender identities or expressions, sexual orientations, ages, marital statuses, veteran statuses and disability statuses. As an equal opportunity employer, we celebrate diversity and foster an inclusive environment by committing to diverse hiring practices, encouraging education and communication with a monthly DE+I newsletter and building a DE+I enrichment and training program.

Ensure your Parachute Home job offer is legitimate and don't fall victim to fraud. Parachute never seeks payment from job applicants. Parachute recruiters will only reach out to applicants from an @parachutehome.com email address. For added security, where possible, apply through our company website at www.parachutehome.com/careers. 

#LI-Onsite

ZoomInfo is seeking a Senior Product Manager, Identity to own the intelligence layer that connects digital signals to real-world business outcomes. In this high-impact role, you'll be responsible for the identity resolution engine that de-anonymizes web traffic, links visitors to companies and contacts, and powers products like WebSights and FormComplete.

As a Senior PM, you'll work at the intersection of platform engineering, data science, and customer value creation. You'll drive systematic improvements to visitor-to-person and IP-to-company match rates, integrate new data sources, and ensure identity data flows seamlessly across ZoomInfo's GTM Intelligence Platform. Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers.

What You'll Do:

• Strategic Leadership

  • Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value
  • Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality
  • Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy
  • Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact
  • Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

  Execution Excellence

  • Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution
  • Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience
  • Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection
  • Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance
  • Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

  Cross-Functional Partnership

  • Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products
  • Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment
  • Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making
  • Enable go-to-market teams through training, documentation, and competitive positioning
  • Ensure compliance with global privacy regulations (GDPR, CCPA) and maintain privacy-by-design principles

What You Bring:

• Required Qualifications

  • 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities
  • Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape
  • Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions
  • Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs
  • Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority
  • Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products
  • Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers
  • Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach
  • B2B SaaS experience with enterprise data products, platform products, or GTM tools

  Preferred Qualifications

  • Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems
  • Background in data science, engineering, or analytics prior to product management
  • Experience with customer data platforms, audience targeting, attribution, or cookieless solutions
  • Familiarity with 3rd party data sourcing, evaluation, and integration
  • Experience with probabilistic matching, entity resolution, or graph-based identity systems
  • Knowledge of data privacy regulations and their product implications
  • Experience in sales intelligence, marketing technology, or revenue operations domains
  
  

  Why ZoomInfo?

  • Industry Leader: Power the go-to-market strategies of 35,000+ companies worldwide
  • Data at Scale: Work with one of the largest and most comprehensive B2B databases in the world
  • Innovation Culture: Ship fast, learn faster. We value experimentation and continuous improvement
  • Impact: Your work directly impacts how customers identify and engage their ideal buyers
  • Growth: Join a company that's rapidly expanding product offerings and market leadership
  • Team: Work with world-class product, engineering, data science, and go-to-market teams

#LI-VC1

#LI-Hybrid

About the Role:

The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook’s go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle. 

We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue. 

In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions. 

Primary Job Responsibilities:

• Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights 
• Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting. 
• Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion 
• Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency 
• Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes 
• Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making 
• Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices 
• Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives 
• Support company values through role modeling and strong cross-functional partnership 
• Participate in key company initiatives and projects as needed 

Skills and Qualifications:

• Bachelor’s degree in Business, Analytics, Statistics, Economics, or a related field (Master’s preferred) 
• 5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role 
• Strong understanding of B2B revenue and GTM metrics, including funnel performance, pipeline health, conversion rates, retention, and forecasting 
• Advanced SQL skills and experience with modern data platforms (e.g., Snowflake, BigQuery); working proficiency in Python, R, or similar languages preferred 
• Experience building executive-ready dashboards and reporting using BI tools such as Tableau, Power BI, or Looker 
• Proven ability to synthesize complex data into actionable insights and communicate clearly with senior stakeholders 
• Strong cross-functional collaboration skills in matrixed environments 
• Genuine interest in AI-driven analytics, intelligent automation, and emerging data tools 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $100,000-$132,200
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

About the Role:

The Revenue Operations team is responsible for designing, maintaining, and continuously improving the systems, data, and insights that power PitchBook’s go-to-market engine. Operating at the intersection of Sales, Marketing, Customer Success, Finance, Product, and IT, this team drives efficiency, visibility, and revenue impact across the full customer lifecycle. 

We are seeking a Senior RevOps Data Analyst to help shape how the business measures performance, identifies growth opportunities, and makes data-driven decisions. This is more than an analytics role, it is a strategic partnership role for someone who combines strong business acumen with advanced analytical skills and a systems-level view of revenue. 

In this role, you will serve as a trusted advisor to senior business leaders, translating complex data into clear insights that guide strategy, execution, and optimization across pipeline, revenue, and customer engagement. You will help build scalable analytics solutions, define success metrics, and elevate how teams use data to make decisions. 

Primary Job Responsibilities:

• Partner with senior GTM and Revenue leaders to define success metrics, identify growth opportunities, and influence strategic decisions through data-backed insights 
• Leverage Salesforce (SFDC) reporting expertise to build and interpret reports and dashboards, translating complex data from systems like Marketo and Gong into clear, actionable insights. Provide visibility into pipeline health, customer lifecycle, and revenue performance while ensuring data integrity, consistent KPIs, and scalable reporting. 
• Design and maintain advanced reporting frameworks, dashboards, and models that surface insights across funnel performance, forecasting, retention, and expansion 
• Act as a trusted analytical advisor across Sales, Marketing, Customer Success, and Finance, providing a holistic view of revenue performance and operational efficiency 
• Ensure data quality, governance, and consistency across revenue systems and platforms, championing best practices and scalable processes 
• Identify opportunities for automation, advanced analytics, and predictive insights to improve efficiency, accuracy, and decision-making 
• Mentor analysts and business partners by promoting analytical rigor, a data-driven mindset, and adoption of best-in-class tools and practices 
• Collaborate closely with Product, Finance, IT, and GTM Operations teams to align insights with broader company objectives 
• Support company values through role modeling and strong cross-functional partnership 
• Participate in key company initiatives and projects as needed 

Skills and Qualifications:

• Bachelor’s degree in Business, Analytics, Statistics, Economics, or a related field (Master’s preferred) 
• 5+ years of experience in revenue operations, business analytics, marketing operations, sales operations, or a related analytical role 
• Strong understanding of B2B revenue and GTM metrics, including funnel performance, pipeline health, conversion rates, retention, and forecasting 
• Advanced SQL skills and experience with modern data platforms (e.g., Snowflake, BigQuery); working proficiency in Python, R, or similar languages preferred 
• Experience building executive-ready dashboards and reporting using BI tools such as Tableau, Power BI, or Looker 
• Proven ability to synthesize complex data into actionable insights and communicate clearly with senior stakeholders 
• Strong cross-functional collaboration skills in matrixed environments 
• Genuine interest in AI-driven analytics, intelligent automation, and emerging data tools 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $100,000-$132,200
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

• GMMB has a hybrid work schedule with at least three days in office presence; additional in office days as needed. 
• This position is based in Washington, DC. 
• Salary range - $50,000 - $60,000 
• This is a full-time, salaried and benefits eligible position to run through mid-November 2026.

This is an entry-level position on GMMB’s award-winning political team and is a great opportunity to play a key supporting role on some of the biggest races and issues in the 2026 midterm election cycle.

As an Assistant Account Executive, Analytics on the Political Team, you would… 

• Build, maintain, troubleshoot, and improve GMMB’s industry-leading competitive tracking dashboards in Google Sheets, using advanced formulas and multi-sheet workflows to monitor spending and creative across paid media channels in races across the country.
• Conduct quality assurance and data validation across competitive tracking tools and reports, ensuring the accuracy, consistency, and usability of campaign metrics and client-facing outputs.
• Design and improve spreadsheet-based systems that automate recurring tasks, reduce manual work, and increase team efficiency.
• Draft client-ready summaries of new spending, creative, and competitive trends for races across the country.
• Develop and maintain client and project documents, including timelines/calendars, budget trackers, meeting notes, and conference call reports. 
• Research, analyze, and summarize the political landscape and trends for prospective and current clients.
• Draft quick-turn memos and briefs on emerging issues in the political and media landscape.
• Schedule and coordinate client, internal, and vendor meetings and video calls. 
• Become well-versed in assigned clients, their priorities, and issue areas, including the political landscape, the state of competitive races, and key news developments that may affect their work.

You have…

• A bachelor's degree from a four-year college or university, or equivalent experience.
• Passion for Democratic politics and advocacy.
• Proficiency in Google Sheets and/or Excel, including pivot tables, VLOOKUP, SUMIFS, FILTER, QUERY, IMPORTRANGE, ARRAYFORMULA, INDIRECT, conditional formatting, and data validation.
• Experience conducting quality assurance, validating data accuracy, and identifying and resolving spreadsheet errors and inconsistencies.
• A strong work ethic, attention to detail, and willingness to work long hours under tight deadlines in high-pressure situations. 
• A positive attitude and are a team player!

Preferably but not required, you have…

• Internship or professional experience in political campaigns, issue advocacy, advertising, communications, public relations, or related field. 
• Experience with statistics, data visualization, or building and optimizing complex multi-sheet workflows or data models. 
• Familiarity with AI tools and sound judgment about how and when to use them to improve efficiency, support research, and troubleshoot or build formulas.
• Experience with data tools such as Civis Analytics, Tableau, Looker, or Power BI.

What You’ll Do 

Koalafi is seeking a Manager of Business Analytics to build the frameworks, measurement systems, and analytical foundations that ensure our product releases drive their intended impact—without unintended downstream consequences. This high-visibility role will own the definition, tracking, and automated monitoring of core KPIs across product journeys and operational workflows. This is an individual contributor role at the Manager level.

In this role, you’ll work primarily with Product, Engineering, and Analytics partners to design robust measurement strategies for existing and new initiatives, implement automated alerting for anomalies, and ensure that each release is evaluated against clearly defined success criteria. You will also lead key efforts to optimize the return customer experience, identify opportunities to improve mobile app engagement, and drive long-term product performance improvements.

This is a rare opportunity to establish the backbone of product analytics for a high-growth fintech company—while creating clarity, accountability, and data-driven decision-making across the organization.

KPI Definition, Tracking & Alerting

• Define and maintain the authoritative set of product KPIs across application flows, customer lifecycle stages, operational behaviors, and internal decisioning systems.
• Build product measurement frameworks and documentation that clearly articulate intended outcomes, guardrails, and dependence on upstream systems.
• Partner with product managers and engineering leads to integrate KPI measurement into release planning and acceptance criteria.
• Develop automated alerts to detect anomalies, degradation, or unexpected movement in key product metrics.
• Implement monitoring dashboards that give product and business stakeholders real-time visibility into performance.
• Establish processes to investigate, triage, and communicate the root cause of KPI changes.

Product Impact Evaluation

• Analyze the impact of new product releases, policy changes, and UX improvements using well-defined baselines and control groups.
• Ensure downstream effects across approval rates, customer behavior, repayment performance, or operational workflows are measured and understood.
• Provide clear insights and recommendations that influence product prioritization and roadmap decisions.

Customer and App Experience Optimization

• Review and optimize experiences for returning customers, including friction points, drop-off behavior, and policy interactions.
• Analyze mobile app engagement patterns to identify opportunities for UX enhancements, feature prioritization, and content improvements.
• Partner with product teams to design and evaluate experiments aimed at increasing engagement, conversion, and retention.

Cross-Functional Expansion

• Create a scalable measurement and alerting framework that can be extended beyond Product—next with Legal and Compliance.
• Work with these teams to define key compliance KPIs, build monitoring processes, and ensure alignment with regulatory expectations.
• Partner with cross-functional leads to drive clarity and shared ownership of analytical definitions.

About You (Qualifications) 

• Bachelor’s degree in a quantitative, analytical, or product-related field (e.g., Engineering, Statistics, Economics, Computer Science, Product Management).
• 4–6 years of experience in product analytics, business analysis, product management, or a related field.
• Strong experience defining and measuring KPIs within digital products, operational workflows, or financial systems, ideally in consumer lending or lease-to-own finance.
• Proficiency with SQL and experience analyzing large datasets.
• Experience building dashboards and automated monitoring systems (Tableau, Looker, or similar).
• Familiarity with experiment design, measurement strategy, and release evaluation frameworks.
• Comfortable working in an ambiguous, fast-paced environment and excited to build foundational systems from scratch.
• Excellent communication skills, with the ability to translate complex analytical findings into clear recommendations for product and business leaders.
• You have a growth mindset and are comfortable giving and receiving feedback to continuously learn and grow.
• Detail-oriented, proactive, and motivated by curiosity, structure-building, and continuous improvement.
• Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time.

ABOUT ROCKET MONEY🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

• Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
• Impact - We transform raw data into strategic insights that drive business decisions
• Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

• Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
• Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
  • Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
  • Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
• Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
• Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
• Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
• You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

• You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
• You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
• You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

• You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
• You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

• You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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