We are looking for a detail-oriented, strategic, and outcomes-driven Principal Analyst to join our GTM Operations team, supporting processes and systems across our global go-to-market (GTM) organization — including Customer Success, Sales, and other customer-facing teams.

You will act as a senior thought partner to GTM leadership, owning complex, cross-functional initiatives that improve operational efficiency, drive data-informed decision making, and scale our customer lifecycle processes globally. This role requires the ability to influence senior stakeholders across functions and regions, navigate ambiguity, and turn strategy into measurable business impact.

We are looking to speak to candidates who are based in the United States for our hybrid or remote working models.

As a Principal GTM Operations Analyst, you will:

• Partner with senior leaders across Customer Success, Sales, and other GTM teams to design, optimize, and scale core processes across the customer lifecycle, including customer engagement, renewals, and account management workflows
• Own the strategy, design, and continuous improvement of global operational processes, ensuring scalability, consistency, and alignment to GTM and company priorities across regions
• Translate ambiguous business problems into clear operational and technical requirements, working closely with CRM Engineering and GTM Systems teams to deliver high-impact system and tooling improvements
• Drive material improvements in activity tracking, customer health signals, lifecycle workflows, and other key operational insights to enable better customer engagement, planning, and outcomes
• Define, instrument, and monitor key performance indicators and operational metrics to evaluate GTM initiatives and provide clear, data-driven recommendations to leadership
• Lead complex, cross-functional programs from problem definition through execution, including roadmap ownership, stakeholder alignment, risk management, and executive updates
• Establish and maintain governance frameworks, operating cadences, and documentation to ensure process clarity, adoption, and continuous improvement across global GTM teams
• Proactively identify operational gaps and inefficiencies, quantify impact, and propose data-driven solutions that improve GTM productivity, customer outcomes, and revenue performance
• Serve as a mentor and senior partner within the GTM Operations team, helping raise the bar on process design, execution, and cross-functional collaboration
• Bring forward new ideas, tools, and best practices that improve how we scale GTM operations globally

The Ideal Candidate has:

• Bachelor’s Degree in Business, Economics, Finance, Computer Science, or a related field
• 7+ years of work experience in GTM Operations, Revenue Operations, Sales Operations, Customer Success Operations, Business Operations, or a related field
• Demonstrated ability to solve complex, ambiguous problems end-to-end — from framing and analysis through recommendation, execution, and measurement
• Proven track record of designing and scaling GTM processes and driving measurable process and productivity improvements for a global GTM organization
• Experience leading cross-functional projects and programs with multiple senior stakeholders, with a strong ability to influence without direct authority
• Excellent communication skills, including the ability to synthesize complex concepts into clear narratives and influence both business and technical stakeholders, including senior leaders
• Deep experience with CRM systems, particularly Salesforce, and familiarity with GTM tooling
• Experience in a consumption/pay-as-you-go business model is a plus
• Strong organizational skills and the ability to manage multiple, competing priorities in a fast-paced, globally distributed organization
• A proactive, ownership-minded approach and the ability to operate with a high degree of autonomy and accountability for outcomes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273423069

About the Positions 

We’re seeking Project Controls Analysts (Cost and Data Visualization) at multiple levels to support large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (rail and bus), aviation (international airports), and water projects delivered through both traditional and alternative methods. 

These roles sit at the intersection of project controls and modern data analytics. Depending on level and experience, responsibilities may span cost control, financial tracking, and schedule awareness, combined with advanced data structuring and visualization capabilities. Across all levels, the focus is not just on building dashboards, but on working within active programs to help teams understand what the data is actually telling them and where performance is trending. 

Team members support cost and financial oversight across publicly funded programs (USDOT, FAA, FTA, and state DOTs), contributing across the full reporting lifecycle. This may include partnering with stakeholders to define reporting requirements, integrating and validating data from multiple systems, structuring datasets, and developing dashboards and reports that support project execution, program controls, and executive decision-making. 

At Luster, these are not passive reporting roles. Depending on level, individuals play a key part in shaping how project data is organized, governed, and communicated across complex, multi-stakeholder environments. The expectation across the team is an understanding of both the data and the project context behind it, with the ability to bridge the gap between technical outputs and real-world delivery. 

This posting is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need. 

Responsibilities may include, but are not limited to, the following:  

Project Controls and Program Analytics 

• Develop dashboards and reports that support cost, schedule, forecast, progress, change, and performance analysis. 
• Create reporting solutions for project teams, program leadership, and executive stakeholders. 
• Support analytics related to: budget versus actuals; forecast trends; cost and schedule variance; cash flow and commitments; change management; portfolio and program performance; risk and exposure indicators. 
• Help translate project controls data into practical, decision-ready outputs. 

Cost Control and Financial Oversight 

• Monitor actual costs vs. budget and analyze variances across multiple funding sources. 
• Implement cost control procedures in compliance with federal and state regulations. 
• Prepare cost reports and documentation required by agencies such as the Federal Transit Administration (FTA), Federal Aviation Administration (FAA), and State DOTs. 
• Collaborate with scheduling, procurement, and engineering teams to align cost data with project milestones. 
• Support earned value management (EVM) and integrate cost and schedule performance metrics. 
• Identify cost-related risks and support mitigation planning. 
• Evaluate cost impacts of change orders and scope modifications. 
• Interface with government clients, contractors, and internal teams to ensure transparency and accountability. 
• Participate in audits, reviews, and funding agency meetings. 
• Support reporting deliverables across multiple funding and delivery structures, including traditional and alternative methods. 

Data Integration and Management 

• Extract, organize, and validate data from client and internal systems, including PMIS platforms, ERP systems, scheduling systems, and operational/financial source systems. 
• Support the design and maintenance of data pipelines using SQL, APIs, and Python-based workflows. 
• Prepare data for reporting through cleansing, transformation, and modeling. 
• Contribute to scalable data structures that support repeatable reporting and analytics delivery. 

Dashboard and Report Development 

• Design and build user-friendly dashboards, reports, and visual analytics primarily in Power BI. 
• Develop views tailored to different audiences, including executive, management, and operational users. 
• Use wireframes and prototypes to align reporting design with stakeholder needs. 
• Incorporate best practices in layout, usability, filtering, navigation, and documentation. 
• Support paginated and presentation-ready reporting where required. 

Stakeholder Collaboration 

• Gather and document business requirements from internal teams and external clients. 
• Facilitate conversations that clarify reporting goals, success criteria, and data availability. 
• Present reporting concepts, draft dashboards, and iterative updates for stakeholder review. 
• Provide clear communication to both technical and non-technical audiences. 
• Support user adoption through training, reference materials, and report documentation. 

Continuous Improvement and Innovation 

• Identify opportunities to improve reporting quality, efficiency, and business value. 
• Recommend more effective ways to structure, visualize, and interpret data. 
• Support innovative uses of modern analytics, automation, and AI-enabled workflows where appropriate. 
• Contribute to Luster’s evolving internal and client-facing analytics capabilities. 

Attributes 

• Excellent written and verbal communication and interpersonal skills. 
• Ability to work effectively with cross-functional teams and communicate with a range of stakeholder groups. 
• Meticulous analyst who spots anomalies quickly and communicates them clearly. 
• Comfortable navigating large datasets, cost-control platforms, and Excel pivot tables. 
• Strong attention to detail and commitment to data quality. 
• Excellent multitasking and organizational skills. 
• Collaborative mindset that fosters teamwork, trust, and positive relationships. 
• Natural curiosity, problem-solving abilities, and a passion for continuous improvement. 

Minimum Qualifications 

• Bachelor’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, computer science, or a related field, or equivalent combination of education and experience.   
• 5+ years of relevant experience in project controls, cost engineering, business intelligence, data analytics, and/or program or portfolio reporting. 
• Familiarity with project controls concepts such as cost, schedule, forecasting, and performance reporting.  
• Experience developing dashboards and reports (preferably using Power BI). 
• Experience using Python for data transformation, automation, scripting, or API integration. 
• Proficiency with Microsoft Power BI, Oracle Cloud Analytics, or other dashboard KPI reporting software.  
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, PowerPoint, etc.). 

Preferred Qualifications 

• Master’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, or computer science.
  
• Experience supporting infrastructure, transportation, aviation, construction, engineering, or capital program environments. 
• Familiarity with tools and platforms such as Primavera P6, Oracle Primavera Cloud, Unifier, Kahua, Procore, e-Builder, Microsoft Fabric, and BI Publisher. 
• Experience integrating data from ERP, PMIS, and scheduling platforms. 
• Knowledge of dimensional modeling, semantic models, data warehouses, or lakehouse concepts. 
• Experience building executive-level reporting for portfolio or program leadership. 
• Familiarity with risk analytics, forecasting analytics, or statistical reporting methods. 
• Experience working within client-controlled or regulated technology environments. 
• Willingness to learn and grow in a fast-paced, innovative team environment, including developing proficiency in financial modeling and reporting and using cost/schedule management tools (e.g., Primavera P6, Deltek, and SAP). 

Compensation Details 

Expected Salary: $89k-$140k/year ($43-$67/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.

Just LOOK at the Benefits We Offer! 

• Unlimited flexible time off  
• Paid holidays  
• Paid parental leave  
• Health, dental, and vision insurance  
• Flexible spending accounts (healthcare and dependent or elder care)  
• Long-term disability insurance  
• Short-term disability insurance  
• Life insurance and accidental death and dismemberment 
• 401(k) plan with guaranteed employer contribution  
• Formal career planning and development program  
• $2,500 annually toward professional development  
• Wellness program with monthly wellness stipend  
• Company cell phone or cell phone plan reimbursement  
• Free personalized meal planning and nutrition support with a registered dietitian  
• Free personal financial planning services  
• Employee assistance program  
• Employee discounts  
• Employee referral bonus 

Specific plan details and coverage for each benefit noted above will be provided upon offer. 

Who we are

Bridge is Stripe’s fintech innovation hub focused on building a modern, stablecoin-powered cross-border payments network. We operate like a startup within Stripe: fast-paced, entrepreneurial, and product-obsessed, but with the backing of one of the most trusted names in fintech.

We’re hiring a Security Analyst / Program Manager to build and scale Bridge’s security foundation. This is a rare opportunity to design the security governance, risk and compliance programs from the ground up, while also leveraging the infrastructure, best practices, and tooling of one of the most mature security organizations in the industry.

What you'll do

• Design, and implement Bridge’s security governance, risk and compliance roadmaps from first principles to production.
• Identify and tackle Bridge’s most important security risks quickly and pragmatically.
• Adopt Stripe’s programs, controls and processes where it makes sense, and find custom approaches where it doesn’t.
• Lead risk assessment, control design and testing for all Security and Technology Oversight globally.
• Reinforce engineering best practices around secure development and infrastructure.
• Ensure Bridge meets compliance and audit expectations as we scale to more regulated markets.
• Collaborate cross-functionally with engineering, product, and Stripe’s security org to move fast without compromising safety.

About you

You might be a good fit if you:

• Have 8+ years of experience in Security GRC, ideally with time spent in fast-paced startup environments where you’ve built security practices from the ground up.
• Have a startup mindset: you’re scrappy, pragmatic, and move quickly to solve the most critical problems.
• You’re proficient with NIST CSF, OCC’s Cybersecurity Supervision Work Program and/or FFIEC IT Examination Handbook or other similar global frameworks. 
• Proven prior experience with regulatory audits from Global auditors across Security domains.
• Thrive in ambiguity and know how to ruthlessly prioritize.
• Can balance security rigor with speed, especially in fast-moving environments.
• Communicate clearly across technical and non-technical partners.
• Have experience building or scaling security programs, either at a startup or in an embedded role.
• Are excited about the potential of crypto and stablecoins to power global financial infrastructure (you don’t need deep prior knowledge—just curiosity and openness to learn).

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.

About the Role

We are seeking a GRC Automation Lead to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. 

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities: 

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.
• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
• Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
• Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.
• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems more than your programming language proficiency.
• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.
• Understand APIs and integration patterns: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation.
• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.
• Have strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.

Strong candidates may have:

• Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
• Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities
• Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
• Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
• Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.

Deadline to apply: None, applications will be received on a rolling basis.

About the Role Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training. We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem.

This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio. Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

You will:

• Analyze large, messy behavioral events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.
• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.
• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.
• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.
• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.
• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Ideally, you’d have:

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.
• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.
• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.
• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.
• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting
• Experience working in marketplace or gig-economy platforms is a plus

About the role

We’re hiring a Lead Analyst, Financial Crimes to support operations of our transaction monitoring program designed to identify and investigate unusual activity across our member accounts. You’ll work closely with internal teams and bank partners to assess risk, surface insights, and ensure we’re meeting regulatory expectations while protecting our members. As a Lead Analyst, you’ll play a key role in driving high-quality investigations and improving how we detect and respond to financial crime.

The base salary offered for this role and level of experience will begin at $139,000.00 and up to $193,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Review account activity using monitoring tools to identify potentially unusual or suspicious behavior  
• Work with vendor partners to ensure quality and productivity expectations are met
• Identify emerging trends and transactional risks that warrant monitoring coverage 
• Partner with bank partners to evaluate risk and respond to escalations  
• Update processes and ensure documentation is maintained up to date
• Recommend account actions (e.g., retention or closure) based on findings  
• Identify trends or anomalies through data and contribute to process improvements

To thrive in this role, you have

• 5+ years of experience in financial crimes, fraud, or risk investigations  
• Strong knowledge of AML regulations (BSA, USA PATRIOT Act, OFAC, SAR/UAR reporting)  
• Experience identifying suspicious activity and conducting end-to-end investigations  
• Ability to analyze transaction data and identify patterns or anomalies  
• Strong attention to detail and ability to work in a high-volume environment  
• Experience working cross-functionally and communicating with external partners  
• CAMS certification (preferred) 

#LI-EI1 #LI-Onsite

About the Role

Chime is the largest and fastest-growing U.S. player in the challenger-banking space. Through our banking partners, we offer access to bank accounts with fee-free overdraft, provide members the chance to receive early access to their paychecks, help them improve their credit, and more. We created Chime because we believe everyone deserves financial peace of mind.

We’re looking for a Staff Data Analyst to lead critical forecasting and performance insights for Chime’s core growth and revenue drivers. In this role, you’ll set the strategy and operating model for forecasting across key metrics (e.g., member growth, purchase volume, deposit volume), drive scenario planning and investment tradeoffs with senior leadership, and elevate how Chime measures and communicates performance and unit economics.

You’ll operate at the intersection of Finance, Strategy, Analytics, and Product—partnering closely with Finance leadership and collaborating across Marketing, Product, Operations & Member Experience, Risk, and Investor Relations. Your work will inform high-impact decisions and help ensure Chime has scalable forecasting capabilities as the business matures.

The base salary offered for this role and level of experience will begin at $170,000 and up to $235,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Own end-to-end forecasting strategy and operating rhythm for core business and financial drivers, including in-year outlooks, long-range planning inputs, and assumption governance.
• Define and evolve forecasting frameworks that improve accuracy, transparency, and consistency - standardizing templates, processes, and documentation across teams.
• Drive scenario planning and investment tradeoff discussions with senior leaders (e.g., “Where should we invest for the highest impact, and what are the expected outcomes and risks?”), including sensitivities and decision-ready recommendations.
• Create performance narratives for key KPIs and unit economics, ensuring leaders have clear, consistent readouts on what’s changing, why it’s changing, and what actions are required.
• Be the arbiter of truth for forecasting and performance measurement, aligning stakeholders on metric definitions, reconciling differences across sources, and raising the bar on analytical rigor and clarity.
  Partner deeply across the company—work hand-in-hand with Finance and influence leaders across Marketing, Product, Operations & Member Experience, Risk, and Investor Relations to align assumptions, drive accountability, and accelerate decisions.
• Scale insights and tooling—own development of dashboards, automation, and self-serve analytics (e.g., Looker/Tableau/Pigment, SQL/Python/R pipelines) that improve speed-to-insight and reduce manual effort.
• Develop talent and raise the bar by managing, mentoring and coaching managers / analysts and setting best practices for modeling, communication, and stakeholder management.

To thrive in this role, you have

• 8–10 years in strategic finance, forecasting/FP&A, finance analytics, or a similarly analytical finance role (fintech/payments/consumer financial services strongly preferred).
• Track record of leading complex forecasting and planning workstreams and influencing senior leaders through structured tradeoffs and decision-ready narratives.
• Deep fluency in financial metrics, unit economics, and performance measurement, including how investors evaluate business performance.
• Strong modeling and analytical skills; able to connect operational drivers to financial outcomes and communicate uncertainty appropriately.
• Advanced SQL and spreadsheet modeling; Python or R proficiency for reproducible analysis and automation strongly preferred.
• Exceptional communication and stakeholder leadership—able to align cross-functional teams, resolve ambiguity, and drive decisions without relying on authority.
• Strong ownership and pace; comfortable operating in a high-growth environment and continuously improving systems and processes.

#LI-Hybrid #LI-BE1

Opportunity for Impact

Taxbit is seeking a Head of Communications to build and lead our global communications strategy. The global digital economy landscape is shifting fast, with Taxbit at the center of it. This leadership role shapes how we show up publicly and internally: defining our narrative, translating complex regulatory developments into clear public positioning, and bringing top-tier media and analyst relationships that establish Taxbit as the authoritative voice in tax and compliance for the digital economy. You will partner closely with executive leadership, marketing, product, and people teams to ensure message consistency across all channels and stakeholders. This is a high-ownership role for someone who thrives in a fast-moving environment, sees opportunity in ambiguity, and wants to build something impactful.

Key Responsibilities

• Develop and execute a comprehensive communications strategy aligned with Taxbit's business objectives, brand positioning, and thought leadership goals.
• Serve as a trusted advisor to the executive team on external communications, regulatory messaging, and reputational risk.
• Oversee internal communications to foster employee engagement, alignment, and a strong “One Taxbit” culture.
• Lead all aspects of corporate communications, including press releases, media outreach, and executive communications.
• Bring and maintain relationships with key media outlets, industry analysts, and external partners with particular focus on crypto, fintech, and compliance verticals.
• Own analyst relations across relevant firms, positioning Taxbit as the category-defining authority for crypto tax and compliance.
• Monitor regulatory and policy developments and translate them into timely, media-ready narratives.
• Prepare executive leadership for press interviews, public speaking engagements, and industry events.
• Partner with marketing to ensure message consistency across channels (including events, digital, social, and content).
• Bring the media's perspective into planning and collaborate across marketing on stories that will resonate with trade and business press.
• Monitor media coverage, industry and regulatory trends, and public sentiment to inform and adjust communications strategy.
• Track relevant industry awards and lists and manage submissions on Taxbit's behalf. 

Required Qualifications

• 10+ years of experience in corporate communications, public relations, or a related field, with a proven track record in high-growth, regulated technology environments (crypto experience preferred; fintech or financial services experience required).
• Established relationships with crypto, fintech, and business media, with a track record of placements in tier 1 and tier 2 publications.
• Strong analyst relations experience, with the ability to build credibility with firms that influence institutional buyers.
• Exceptional written and verbal communication skills, with the ability to distill complex regulatory and technical topics into clear, compelling narratives for diverse audiences.
• Demonstrated experience advising executive leadership on communications strategy, regulatory messaging, and reputational risk. 
• Experience managing crisis communications in fast-moving, high-stakes environments. 
• Experience managing internal communications in a global, high-growth environment, with a track record of driving employee engagement and organizational alignment.
• Experience leading and developing high-performing communications teams.
• Impeccable organization and project management skills, with the ability to manage multiple workstreams and stakeholders simultaneously.
• Comfortable with change, ambiguity, and rapid iteration — you see opportunity where others see uncertainty.
• Self-directed, with the ability to prioritize and deliver in a high-growth environment.

The base salary range for this role is $150,000-$225,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

• Competitive cash compensation (based on experience)
• Equity (RSUs)
• Competitive benefits package
• A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more
• Hybrid working model: 3 days in-office, 2 days WFH/flexible
• Monday team lunches, snacks and drinks
• Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge
• Paid parental leave to bond with your child
• Fertility Benefit
• Autonomous work and flexibility in how work is performed

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

• Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
• Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
• Software Development & Productionization: Integrate research outputs into Verse’s cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
• Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

• Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
• Bachelor’s degree and 2+ years of energy sector experience
• Solid foundations in machine learning and statistical modeling
• Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
• Familiarity with wholesale electricity market fundamentals and renewable energy technologies
• Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

• Direct experience with US or European wholesale electricity markets or utility tariff structures
• Experience with energy procurement, power purchase agreements, or risk management
• Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
• Foundational knowledge of mathematical optimization
• Experience shipping models to production in a commercial or research environment
• Experience developing probabilistic forecasting models and quantifying uncertainty
• A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Staff Product Marketing Manager, Security

Reporting to the Senior Manager, Product Marketing, this role is a critical lead in Okta’s security journey. We are looking for a Staff Product Marketing Manager who will help tell Okta’s security story in a compelling, cohesive, and relevant way. Your goal is to elevate Okta’s foundational access technologies from a utility to a strategic security imperative, evangelizing the need for identity-centric security in an AI-driven threat landscape.

The ideal candidate will be a unique blend of technologist and business strategist—someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with both CISOs and practitioners. Beyond strategy and content, you must be a self-motivated, execution-oriented individual who stays focused on delivering outcomes in a fast-paced environment.

What you’ll be doing

• Identity Security GTM Strategy: Build and execute the go-to-market strategy for Okta’s foundational access and authentication platform. You will define how core authentication, adaptive policy, and recovery flows serve as the first line of defense against modern identity-based attacks.
• Technical Evangelism & Demos: Move beyond high-level messaging to create "show-not-tell" technical content. You will be responsible for building and delivering product demonstrations, technical reference architectures, and briefs that prove Okta’s security value to technical buyers.
• Security Storytelling: Own the messaging, positioning, and competitive differentiation for our core access technologies. You must take "under-the-hood" technology and turn it into a simple, urgent, and business-focused story that highlights resilience and risk mitigation.
• AI-Driven Identity Leadership: Define the strategy for securing the new wave of AI. This includes establishing Okta's point of view on managing AI agents as identities and ensuring the access layer is hardened for an automated, high-velocity threat landscape.
• Cross-Functional Activation: Partner with Product Management, Engineering, and Sales to build technical buyer-focused assets—including technical comparisons, FAQs, and field enablement materials—specifically designed for the Global 2000.
• Analyst & Industry Presence: Represent Okta at security events to raise our profile and establish a unique POV. Engage with analysts to ensure Okta’s foundational security capabilities are recognized as the core of a modern security posture.

What you’ll bring to the role

• Domain Expertise: 8+ years of experience as a product marketer or product manager in cybersecurity or identity management (IAM, AD, or Entra ID). You know who the players are, where the gaps lie, and how to win.
• Hands-on Technical Proficiency: A technologist at heart. You must have a track record of supporting technical evaluations, and you must be comfortable configuring and demoing the product to technical buyers.
• Execution-Oriented Storytelling: Proven ability to take "under-the-hood" technology and turn it into an emotional and urgent business story. You know how to rise above the noise and create a sense of urgency.
• Strategic Integration: An understanding of how foundational identity signals (like MFA and policy) feed into broader security outcomes like threat detection and incident response.
• Stakeholder Management: Experience managing senior stakeholders with differing priorities and a high sense of urgency to drive end-to-end GTM initiatives.

Extra Credit if you have:

• CS Degree or a strong technical background in systems architecture or engineering.
• Deep experience with modern identity protocols and securing hybrid environments (Cloud and On-Premises).
• Experience in the AI space, specifically regarding the security implications of LLMs and agentic workflows.

#LI-Hybrid

(P24306_3344542)

Discord is looking for an exceptional Legal Analyst to join our growing legal department.

As Legal Analyst, you'll support two teams — Commercial & Marketing and IP — getting to work alongside some super inspiring people within the legal department and across the company. You'll join a motivated and fun team that works on a diverse array of matters spanning licensing, commercial contracts, advising on marketing issues, and gaming partnerships. As part of this team, you will be responsible for independently managing key projects, collaborating with the team on complex matters, and helping the team figure out how to do its work better — including finding smarter, AI-powered ways to deliver legal support.

If this sounds like a fun challenge, please read on ...

What You'll Be Doing

Commercial & Marketing Support

• Respond to or escalate requests from internal partners in product, business, and marketing who need Legal support.
• Train clients on the contracting process and tools, and ensure that the correct process and approvals are in place for each deal.
• Independently negotiate non-disclosure agreements with external partners using well-defined processes, standard templates, and established playbooks. 
• Advise clients on basic commercial, marketing, and business legal concepts; review and edit marketing materials and external communications with oversight.
• Negotiate and redline marketing, influencer, and consulting agreements using established playbooks with minimal oversight.
• Support the IP team across various areas, including trademark portfolio research, IP clearances, and brand enforcement workflows.

AI Innovation & Process Improvement

• Leverage your prior work experience to help drive implementation of a new contracts management system to ensure smooth adoption across different functions.
• Maintain and improve legal and cross functional resources, including directories, playbooks, policies, and other key documentation.
• Serve as the day-to-day administrator and point of contact for the team's CLM/contract management system, including troubleshooting, user support, workflow configuration, and creation of training materials.
• Identify process improvements or efficiencies across the team's work and drive related projects to completion.
• Evaluate emerging AI tools for legal work — assessing fit, reliability, and risk — and make recommendations to the team on what's worth adopting.
• Design and implement AI-powered workflows that make legal work more efficient and scalable (e.g., contract review assistance, self-serve resources, automated intake).

What You Should Have

• A cover letter (this is mandatory!) - we want to know why you're interested in this role and how it supports your career
• BA/BS or equivalent work experience
• Demonstrated written and spoken communication skills
• Curiosity and ability to jump into less familiar areas and learn while doing
• Effective critical thinking, problem solving, and project management skills
• Excellent organizational skills, time management, and attention to detail
• Ability to manage several simultaneous projects under deadline pressure
• Coachable and enthusiastic team player who thrives in a fast-moving environment
• Comfortable interfacing with all types of people
• 1-2 years relevant work experience in a legal, contracts, administrative, or operations role

Bonus Points

• You are familiar with Discord, Google Workspace, and AI tools.
• Demonstrated experience with a contract management system or contract lifecycle management (CLM) platform
• You enjoy talking about absurd and improbable ideas for fun
• You are agile and open minded about tackling new challenges

This position is temporary for 12 months. Candidates must reside in the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties).

For this role, the Hiring Manager would like folks to be in the office 1 day a week.

The US base salary range for this temporary position is $108,000 to $121,000 (prorated based on tenure) + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.

About the role

As Anthropic continues to grow, the rigor and sophistication of how we plan our workforce needs to grow with us, and our People Analytics team plays a central role in that work.

We are looking for a Workforce Planning Lead to own how Anthropic plans, forecasts, and tracks its workforce, from the underlying data and tooling, to forecasting models, to the cadence and partnership that connects workforce decisions to business strategy. The person in this seat will shape the next chapter of how workforce planning runs at Anthropic.

The role is highly cross-functional. You will partner closely with Recruiting, Finance, People Partners (HRBPs), talent leaders, and business leaders across the company to understand headcount needs, model tradeoffs, and translate strategy into workforce plans. Strong grounding in people analytics methods, judgment, and a generalist orientation are essential. Scope will at times extend beyond traditional workforce planning into broader People Analytics work.

Key responsibilities

Workforce planning process and strategic partnership

Lead recurring company-wide headcount planning cycles and the ongoing rhythms of review, monitoring, and adjustment that keep plans connected to the business. Partner with Finance, Recruiting, and talent leaders to translate business strategy into workforce implications, including hiring plans, capacity needs, location considerations, and workforce mix. Help inform where and how Anthropic grows over time. Strengthen the underlying infrastructure that supports planning, including position management, governance of core workforce data, and consistency across our people systems. Be a trusted thought partner when growth plans are set, organizational design is evaluated, or new initiatives are resourced, providing the data and modeling that lets leaders make decisions.

Forecasting and scenario modeling

Build and maintain quantitative models for headcount forecasting, attrition projection, hiring plan scenario analysis, and capacity planning. Develop scenario analyses that quantify tradeoffs across growth plans, hiring assumptions, attrition rates, and budget considerations. Identify supply and demand gaps before they become bottlenecks.

Analytics, dashboards, and insight

Build self-service dashboards for executives, functional leaders, and managers showing current state, plan versus actual, pipeline health, and key workforce metrics. Develop predictive analytics including attrition risk, hiring velocity forecasting, and supply/demand gap identification. Translate analysis into clear narratives that drive decisions.

Cross-functional execution

Provide hands-on operational support during structural change, including reorganizations, new team formation, and rapid scaling of a function. Support broader People Analytics workstreams as needed. This role will frequently touch attrition, recruiting funnel, location analytics, and other people data.

Minimum qualifications

• Experience in people analytics, workforce planning, or a closely related quantitative role
• Have built and maintained quantitative models for headcount forecasting, attrition, or hiring plan scenarios in a high-growth environment
• Highly proficient in SQL and have working knowledge of Python or R for modeling
• Have hands-on experience with HRIS and ATS data
• Have built dashboards in tools like Looker, Tableau, or comparable, and can translate analysis for senior leadership audiences
• Are a strong generalist analyst who thrives in ambiguity, balances rigor with pragmatism, and challenges assumptions with data
• Communicate clearly with senior stakeholders across Recruiting, Finance, and the business
• Are comfortable owning end-to-end development of a function, defining what to build, building it, and iterating
• Thrive in a fast-paced environment, can pivot quickly as priorities shift, and are energized by the pace

Preferred qualifications

• 7+ years in people analytics in workforce planning
• Background in workforce planning and people analytics at high-growth technology companies or AI/ML organizations, ideally having led workforce planning end-to-end or stood up the function from scratch
• Experience leading the rollout or significant upgrade of position management capabilities
• Experience partnering with FP&A on financial planning and connecting headcount plans to budget considerations
• Familiarity with capacity planning models (e.g., recruiter capacity against hiring goals, revenue per AE)
• Experience supporting org design analytics (span of control, layers, manager ratios) and structural decisions
• Working knowledge of compensation principles, sufficient to model comp tradeoffs in scenario analysis
• Experience with modern data stack tools
• Experience with employee lifecycle metrics and people KPIs

As a Senior Collection Analyst, you will collaborate with business partners to ensure that the collections process function is smooth and efficient. This role will be instrumental in the collections of outstanding accounts receivable and all other aspects of collections. You will be responsible for resolving customer billing issues and for reducing accounts receivable delinquency, along with other collection management functions.

We are looking for a highly organized, self-motivated individual who has a proven capability of prioritizing multiple responsibilities while meeting goals and deadlines. This role will be a key contributor to an exciting, fast-paced, high growth organization. We are looking for someone with a positive attitude and a desire to help strengthen our collection process to scale with the company’s long-term goals.

Location: 4 days a week (Tuesday-Friday) in office at Axon Hub Location (Seattle, San Fran, Scottsdale, Denver, Atlanta, Boston, Sterling, NYC)

WHAT YOU'LL DO:

• Perform outbound collections in a professional manner with a focus on customer service while adhering to Company Policy
• Analyze and research accounts to be fully prepared to work with customers, drive meetings with customers
• Work with our internal sales team and other cross functional teams as well as outside customers to resolve collection issues
• Analyze delinquent accounts, prepare bi-weekly/monthly reports on high-risk accounts and make resolution recommendations
• Prepare and analyze reports for bad debt- assist with invoices, credit memos and other adjustments as necessary
• Participate in and support systems improvements and focus on streamlining the collection process, perform analysis of collection practices and develop process improvements
• Develop, implement, and maintain desktop procedures for ongoing collection activities, and leverage reporting tools to build repeatable analysis and research tools
• Work with cross-functional teams to identify problems, process gaps and propose reasonable and creative solutions to improve processes including opportunities for automating manual processes or activities within a process

WHAT YOU'LL NEED:

• 5-7+ years of collections experience, preferably with high-tech industry experience
• Bachelor’s in Accounting or Business, or equivalent work experience
• Order-to-cash business process experience a plus, experience with quoting, order management and billing
• Excellent communication skills, both written and verbal, and strong customer service approach
• Self-motivated, flexible and be able to change priorities in a challenging and fast-paced environment within minimal supervision
• Strong Excel skills, experience with ERP solutions (Microsoft Dynamics, Oracle, SAP, Workday etc. ), and Salesforce
• Ability to build strong cross-functional relationships and work collaboratively
• Proactive, problem-solving attitude and ability to think outside the box.
• Adapts quickly to changes in a dynamic organizational structure and business processes
• Ability to work independently and a strong team player

Work Location

This role is based out of any of our offices and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Role Overview

As a Security Risk and Compliance Analyst you will play a hands-on role in maturing and operating Asana’s compliance and certification programme—specifically across controls maturity, policy governance, and audit execution. This role sits at the intersection of traditional GRC work and compliance engineering: you will help maintain our control frameworks and run our audit cycles, while also contributing to the automation initiatives that make our compliance programme scalable and repeatable.

This is an excellent opportunity for someone with early-career GRC experience who is excited to grow their technical skills and help shape how a high-growth SaaS company approaches compliance automation. You will partner closely with Security Engineering, Legal, Privacy, and R&D to ensure our controls are effective, our evidence pipelines are reliable, and our certifications—SOC 2, ISO 27001, and FedRAMP—are maintained with rigour.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. If you’re interviewing for this role, your recruiter will share more about the in-office requirements.

What You’ll Achieve

Controls Maturity & Certifications

• Support the maintenance and continuous improvement of Asana’s control framework, tracking control effectiveness across SOC 2, ISO 27001, FedRAMP Moderate, and other applicable standards.
• Proactively engage with a wide range of teams—including Engineering, IT, and People—to work through controls maturity activities, close existing gaps, and drive remediation efforts to completion with clear documentation of progress.
• Build strong working relationships across the business so that control owners feel supported and accountability is shared, not siloed within the compliance team.
• Contribute to controls maturity scoring and reporting, providing ongoing visibility into programme health for senior leadership.
• Support external compliance audits end-to-end: coordinating evidence requests, liaising with auditors, and tracking findings through to closure.

FedRAMP Continuous Monitoring

• Own the monthly FedRAMP ConMon package submission, ensuring it is accurate, complete, and delivered on time every month.
• Track and drive completion of all timebound FedRAMP requirements by working closely with Engineering, People, and other responsible teams.
• Maintain a clear calendar of FedRAMP deliverables and proactively flag risks to timelines, escalating where needed to ensure nothing slips.
• Serve as a day-to-day point of contact for FedRAMP-related queries from internal teams, helping them understand their obligations and what good looks like.

Evidence Collection & Automation

• Own evidence collection workflows within our GRC platform, ensuring controls are reliably mapped, evidence is current, and audit artefacts are ready year-round.
• Where possible, identify opportunities to automate repetitive evidence-gathering tasks—this is a nice-to-have rather than a core requirement, but curiosity and initiative here will be valued.
• Document evidence collection procedures so that processes are transparent, auditable, and maintainable by the broader team.

About You

• 3+ years of experience in Governance, Risk, and Compliance (GRC), information security, or a closely related field—internships and co-ops count.
• Foundational knowledge of security compliance frameworks such as SOC 2, ISO 27001, NIST CSF, or FedRAMP; you don’t need to be an expert in all of them.
• Comfortable engaging with a wide variety of teams—Engineering, People, IT, Legal—to explain compliance requirements, gather evidence, and build the relationships needed to close control gaps.
• Organised and deadline-driven: you can manage multiple workstreams, track time-sensitive obligations (like monthly FedRAMP submissions), and keep audit artefacts tidy without being reminded.
• A clear communicator who can translate compliance requirements into plain language for both technical and non-technical stakeholders.
• Exposure to compliance automation or evidence collection tooling (GRC platforms, scripting, API integrations) is a plus, but not essential—curiosity and a willingness to grow technically matter more.
• Curious about how modern SaaS engineering works—comfortable asking questions and learning the technical context behind a control.

At Asana, we’re committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you’re interested in this role and don’t meet every listed requirement, we still encourage you to apply.

What We’ll Offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we’re committed to looking at market value, which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $130,000–$160,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. In addition to base salary, your compensation package may include equity and benefits. Speak with your Talent Acquisition Partner to learn more.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations.

About Asana

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune’s #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work.

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

#LI-Hybrid

About the Role

Truework, recently acquired by Checkr, provides access to crucial employment, income information and asset information needed for mortgage loans, apartment rentals, background checks, and more. We are disrupting a $5B+ industry, dominated by legacy incumbents and outdated processes, with a better product and intense customer focus. Within Checkr, Truework operates independently, allowing rapid iteration while also being able to leverage the strengths and assets from our core business. Think of it like joining a startup within a startup!

Senior RevOps Analyst

We are seeking a Senior Revenue Operations Analyst to join our Revenue Operations team, supporting the expansion of our mortgage vertical. Collaborating closely with Revenue and Product leadership, this role requires a strategic thinker who can analyze large data sets, extract meaningful insights, and make actionable recommendations to fuel growth in our Sales organization. The right candidate will not only be data-driven but also possess a deep understanding of business contexts to strategically influence channel and growth strategies.

The ideal candidate is someone who thrives on driving efficiency and delivering impactful results. You will play a crucial role in shaping our growth trajectory by identifying opportunities, defining strategies, and ensuring their successful execution. This role is pivotal in ensuring our sales organization runs smoothly and efficiently, supporting our high-value account teams in meeting their revenue goal

What you’ll do

• Strategy and Planning: Partner with Finance and Sales leadership on key planning processes including target, quota setting and territory planning 
• Process Optimization: Define and standardize reporting processes, monitor performance metrics, and forecast results for business reviews and strategic planning. Ensure scalable processes and systems are in place to support a growing mortgage sales team, including infrastructure and automation enhancements.
• Data Analysis and Reporting: Provide input to the development and delivery of sales reports and dashboards, offering insights and recommendations based on data analysis to support decision-making.
• Sales Forecasting: Manage and improve forecasting processes to ensure accurate and timely sales projection, facilitating effective resource allocation and planning.
• Cross-functional Collaboration: Work closely with cross-functional teams, including Sales, Marketing, Finance, and Product to align strategies and optimize the organization's sales initiatives.
• Performance Monitoring: Track and analyze key performance metrics, offering insights and developing strategies to enhance sales effectiveness. Provide insights to optimize mortgage vertical performance by analyzing customer behavior, spending patterns, and identifying churn triggers. 

What you bring

• Bachelor’s degree in Business Administration, Economics, Engineering, or a related field
• 4+ years of experience in Revenue Operations and Strategy. Experience working directly with sales leadership 
• Proven track record of successful sales operations management and strategy implementation. Ability to prioritize tasks and thrive in a fast-paced environment, demonstrating a proactive approach to continuous improvement and efficiency.
• A strong sense of intellectual curiosity and a focus on scaling processes through automation and repeatable methods.
• Proficiency with Salesforce, basic SQL, data visualization tools, sales forecasting and prospecting tools 
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes
• Bonus: Experience working with cross-functional teams in a mortgage or financial services context.

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

#LI-AG1

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

The Mission

Panther is building the future of SOC automation through AI agents that fundamentally change how security teams operate. Our vision is to enable SOC teams to cover 5-10x more data without proportionally scaling headcount by automating the most time-intensive analyst work: alert triage, analysis, and risk validation. We're building intelligent agents that leverage our data pipeline and alerting capabilities to create a SOC team extension that gets smarter over time through collective intelligence.

The Team + Role

You'll build and lead Panther’s agentic team focused on AI-powered SOC analyst solutions that sit at the intersection of security and cutting-edge ML engineering. This is a customer-centric product engineering leadership role where you'll own the execution of our product roadmap, be the bridge between Engineering and Product Management, and you’ll build and lead the team through change alongside our customers, the industry and within the security domain. We're building autonomous security capabilities for alert triage, interactive chat, detection code generation, and text-to-search, all deeply integrated with Panther's ingestion pipeline. This role is ideal for a leader who combines strong people management skills and B2B product engineering experience within the security domain; SOC automation and XDR.

What You'll Need

• Leadership & People Management:
  • 5+ years of people management experience leading product engineering teams
  • Proven track record of hiring, developing, and retaining high-performing engineers
  • Experience managing cross-disciplinary teams and owning all aspects of people leadership
  • Strong partnership skills with recruiting teams to scale headcount effectively

• Business & Product Acumen:
  • Experience working in product-sales environments with direct customer exposure
  • Experience operating in ambiguous environments and making strategic decisions with incomplete information
  • Track record of owning the partnership between Product, Design and Engineering to define vision and roadmap
  • Experience owning user-facing product features from conception to delivery

• Technical Foundation:
  • Experience scaling a team focused on building agentic products and driving ai lead outcomes.
  • Technical depth to participate in architecture discussions and unblock teams on complex design decisions
  • AWS experience preferred (serverless architectures, cloud infrastructure)
  • Cybersecurity background is a nice-to-have but not required
  • Familiarity with modern engineering stacks (Golang, React, TypeScript, GraphQL) helpful

• Mindset:
  • Customer-obsessed: You understand that your team's integrations are the first experience customers have with Panther
  • Owner mentality: You take responsibility for outcomes, not just outputs
  • Team-focused: You prioritize team health, growth, and sustainability alongside delivery

What You'll Do

• • Lead and grow Panther's AI team — hire, develop, and retain engineers working at the intersection of security and AI, building the capabilities that will define Panther's next chapter as a mature AI SOC platform.
  • Own the AI team's delivery — drive execution of the roadmap across autonomous alert triage, interactive chat, detection code generation, and text-to-search, balancing velocity with technical quality.
  • Build Panther's SOAR capabilities using AI infrastructure — lead the team in developing a next-generation Security Orchestration, Automation, and Response solution that leverages Panther's AI infrastructure, MCP integrations, and AI policy framework to automate analyst workflows at scale.
  • Shape the AI SOC platform strategy — partner with Product and the Director of Engineering to define and evolve the roadmap across critical verticals: agentic triage, MCP-powered integrations, AI policies, and collective intelligence.
  • Drive technical direction without coding — participate actively in architecture discussions, challenge design decisions, unblock the team on complex problems, and raise the bar on how we build agentic systems, LLM pipelines, and security automation.
  • Operate with a security-first mindset — collaborate with the broader engineering org on reliability, on-call health, and security practices, ensuring AI features meet the trust and compliance standards Panther's customers expect.
  • Contribute to engineering-wide leadership — participate in hiring loops, share learnings across teams, and help shape how Panther builds and scales its engineering organization as we grow.

We believe in transparency throughout our process — including how we approach AI.

We recognize that AI tools can enhance productivity and support high-quality work. Candidates are welcome to use AI tools for assistance when preparing application materials and completing take-home assignments. If AI use is not permitted for a specific assessment, we will indicate that clearly in the instructions. During live interviews, we ask that candidates not use AI tools to generate or supply real-time answers. This includes reading from AI-generated responses or prompts during conversational, behavioral, or technical discussions. These conversations are designed to understand your individual thinking process, problem-solving approach, and ability to communicate your ideas.

We also use AI tools to support our recruiting processes; hiring decisions are made by our team, not AI.

Reasonable Accommodations
We are committed to providing equal opportunity to all candidates. If you require the use of an AI-based tool or any other assistive technology as a reasonable accommodation for a disability or medical condition, please notify us prior to your interview. We will engage in an interactive process to determine what arrangements are appropriate for your situation. Accommodation requests are handled individually and in accordance with applicable law.

About Panther

Panther makes security teams smarter and faster than attackers.

We're building the AI SOC platform that modern security teams need. Our Detection-as-Code approach, cloud-native architecture, and powerful security data lake help teams detect and respond to threats at scale. Security teams at leading companies use Panther to protect their organizations without the overhead and costs of legacy SIEM solutions.

Founded by security practitioners who lived the pain of protecting large organizations, we've raised $140M from Coatue, Lightspeed, ICONIQ Growth, Snowflake Ventures, and others. We're a global, remote-first company serving customers worldwide.

Our culture is built on flexibility, transparency, and collaboration. We operate by three core values: Create Customer Love, Be an Owner, and Take Care of the Team. We believe diverse perspectives make us better, and that building great security technology should also mean building a rewarding place to work.

The Perks

• Competitive equity in a well-established cybersecurity company
• Unlimited PTO with a 15-day minimum, plus local federal holidays
• Latest tech equipment and budget for your personalized setup
• Comprehensive health and benefits coverage
• Remote-first culture built for distributed teams

Panther Labs is an Equal Opportunity Employer. The Company prohibits discrimination and harassment on the basis of: race, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding), gender, gender identity, gender expression, sexual orientation, marital status, age, religious creed, physical disability, mental disability, genetic information, military or veteran status, or any other status protected by law. All employment decisions are decided on the basis of qualifications, merit, and business need.

The annual cash compensation target: $180,000-$250,000 depending on experience

Reporting to the Data Engineering Manager, the Senior Analytics Engineer (Finance) will be the dedicated data partner for Checkr's Finance organization, owning the models, pipelines, and governance that power how we measure and forecast the business. You will build and maintain the trusted data layer for ledgers, revenue reconciliation, COGS and margin analysis, and forecast model inputs — turning raw ERP and operational data into decision-ready assets. You'll work hand-in-hand with FP&A, Accounting, and Finance leadership, while helping shape one of Checkr's most exciting data platforms alongside a team that's actively building with the latest AI tooling.

What you'll do

• Design, build, and maintain scalable data models and pipelines that support revenue reconciliation, ledger integrity, COGS and margin analysis, and forecast model inputs
• Partner directly with FP&A, Accounting, and broader Finance stakeholders to translate business questions into well-governed, reusable data products in Looker and Omni
• Own the data contracts and quality checks for finance-critical datasets, establishing governance standards that make numbers audit-ready and trusted across the company
• Model data out of ERP systems (NetSuite, Oracle, and similar) and integrate it with operational sources to produce a unified financial view of the business
• Drive adoption of AI-powered workflows and tooling within the analytics engineering stack to accelerate pipeline development, documentation, and stakeholder self-service
• Partner with Data Engineering peers to evolve Checkr's modern data platform, championing best practices in testing, documentation, and lineage

What you bring

• 5+ years of experience in an Analytics Engineering, Data Engineering, or Data Analyst role, ideally with meaningful exposure to Finance or Accounting stakeholders
• Expert SQL and strong experience building production-grade data models and pipelines
• Hands-on experience modeling data from ERP systems such as NetSuite, Oracle, or similar, and strong familiarity with financial concepts like GL, revenue recognition, COGS, and margin
• Experience with BI and modeling tools such as Looker and Omni, and the ability to design semantic layers that scale with stakeholder needs
• Excellent communication skills and a track record of translating ambiguous Finance requirements into technical solutions
• Experience with dbt and Snowflake, and enthusiasm for working with AI-powered development tools, is a strong plus
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Vulnerability Management Analyst

Astranis is looking for a Vulnerability Management Analyst who is ready to proactively identify and neutralize threats before they materialize. Our ideal candidate is passionate about security and has a talent for discovering vulnerabilities, assessing risk, and orchestrating remediation across a diverse technological landscape. With the threat landscape constantly shifting, we need a sharp, detail-oriented individual who can stay ahead of potential exploits, safeguard our systems, and ensure the resilience and integrity of our digital infrastructure.

Role

• Handle all vulnerability scans across the enterprise, including identifying application and configuration vulnerabilities.
• Develop, manage, and track patching and remediation plans in collaboration with system owners.
• Perform and validate system patching and configuration fixes across Windows, macOS, and Linux operating systems.
• Assess the risk of and prioritize vulnerabilities based on their criticality, system exposure, and potential business impact.
• Operate and maintain the vulnerability management platform (Tenable) to ensure effective scanning and reporting.
• Analyze scan results, create detailed reports on the vulnerability landscape, and communicate findings to technical teams and leadership.
• Assist in developing and maturing the overall vulnerability management program and associated policies and procedures.
• Stay current with emerging threats, vulnerabilities, and security technologies to continuously improve our security posture.

Requirements

• 1+ years of experience in a security-related role, with a strong background in security principles.
• Proven experience in cybersecurity, specifically in vulnerability management, risk assessment, and patch management.
• Hands-on experience with vulnerability management tools, especially Tenable.
• Strong understanding of how to assess risk and determine the criticality of security vulnerabilities.
• Experience with patching and security configuration for Windows, macOS, and Linux environments.
• A strong understanding of security standards, system hardening principles, and industry best practices.
• Strong analytical and problem-solving skills.
• Ability to work both independently and collaboratively in a team environment.

Bonus

• Relevant experience with security vulnerability scanners
• Experience in a fast-paced, high-tech, or aerospace environment.
• Familiarity with container security or cloud security vulnerability management.
• Proficient in at least one scripting language, such as Python.

The role

We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud strategies. This role will work on fraud strategies at banking transactional stages during customer journey, implement effective fraud strategies to help our platform to realize a safer, more transparent and secure environment. This role will work collaboratively with various stakeholders to ensure strategy performances while maintaining a smooth customer experience. 

By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.

What you’ll do:

The fraud prevention analyst will help SoFi develop better data driven fraud decisioning by:

• Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting.
• Design sophisticated fraud decisioning strategies by synthesizing login, entity, and tokenization signals to neutralize complex threats like Account Takeover (ATO) and high-risk transactions.
• Lead cross-functional initiatives by translating intricate technical risks into high-level business logic, socialize proposals with stakeholders to align on the optimal balance between security and user friction.
• Optimize detection precision through rigorous statistical analysis, specifically leveraging False Positive Rate (FPR) modeling to protect the "Golden Path" of the customer experience.
• Execute end-to-end risk-decisioning procedures for debit card transactions and authentication frameworks (MFA/3DS), ensuring defense mechanisms are both proactive and scalable.

What you’ll need:

• BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields,  or equivalent work experience 
• Expertise in Fraud: 5+ years of work experience in Fraud Analytics. Experience managing risk-decisioning strategies and mitigating losses in debit card fraud transaction flows (ATO, 3DS, CNP, Tokenization) and understanding of sophisticated authentication frameworks, plus with exposure on authentication flows including MFA/IDV
• Balance Friction and Growth: Deep mastery of the trade-off between fraud mitigation and UX, ensuring security strategies protect the business without compromising key conversion and retention metrics.
• Architect Scalable Data Systems: Expert-level SQL/Python skills used to build automated, high-volume data architectures and statistical models that serve as the foundation for global risk detection.
• Drive Strategic Influence: A proactive leader who uses cross-functional persuasion to align stakeholders and own the end-to-end execution of complex initiatives in fluid environments.

The role

We are seeking a Pricing Analyst, Home Lending to join our Pricing team within the Home Lending Business Unit. This is an exciting role for someone to make a direct impact on the revenue of SoFi by helping shape the Mortgage business strategy and product development through data-driven insights and pricing recommendation. As a Pricing Analyst on our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help SoFi develop, implement, and analyze Mortgage pricing strategies. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Tableau, surface insights, and measure the business impact using conversion/ profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.  The ideal candidate will possess a strong understanding of the residential mortgage industry, with a focus on pricing strategies, competitive analysis, and a proven track record of utilizing pricing engines like Optimal Blue.

What you’ll do:

• Develop, implement, and test pricing strategies that optimize profitability through the improvement of revenue, conversion, and cost per customer acquisition
• Collaborate with the Business Unit Leaders in Home Lending to manage pricing margins, provide insights into the competitive landscape and ensure pricing is in line with targets and profitability expectations
• Administer, configure, and optimize our Product & Pricing Engine (PPE), with a strong preference for Optimal Blue experience
• Ensure accuracy and integrity of pricing data within the PPE
• Develop analytical tools to control and validate the accuracy of mortgage pricing configuration and calculations
• Build dashboards to deliver results of pricing strategies to the business and reporting that assist in pipeline management
• Build intuitive and analytical models to help decision makers understand the price elasticity of customer segments
• Routinely present analyses to SoFi business leaders
• Maintain policies and procedures owned by the HL Pricing Team
• Support day-to-day operations including daily rate sheets and exception processing
• Represent Pricing in front of internal stakeholders (lock desk, credit risk, capital markets, marketing, finance) and external vendors

What you’ll need:

• B.S. or M.S.. in Computer Science, Statistics, Finance, Economics, Engineering, Mathematics or a related quantitative field is required for this position
• 5+ years of experience working in the Home loans industry in an analytics, business strategy, pricing, margin management, or related role 
• 3+ years of experience administering a pricing engine (preferably Optimal Blue)
• Proven track record of end-to-end experience in building analytical frameworks to inform business strategy
• Solid knowledge and understanding of mortgage loans, programs, and pricing processes and procedures
• Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference
• Basic programming skills in SQL, VBA, and Macro. 
• Basic knowledge of Tableau and experience building production-level dashboards
• Ability to work in a dynamic, cross-functional environment, with strong attention to detail
• Effective communication skills and ability to explain complex models in simple terms;
• Strong relationship building and collaborative skills
• Exceptional problem-solving skills

Nice to have:

• Familiarity with Loan Origination Systems (preferably Encompass) 
• Python coding experience

The word ‘credit’ is derived from the latin verb meaning, “one believes”. Underwriting is not merely a science of risk scoring and algorithms, but also an art of unearthing hidden variables, and of subtle pattern recognition; bridging the gap between that of real and perceived risk. The established lending frameworks shun the intrepid entrepreneur, deeming them too risky, and lacking certain credibility. Fortunate for them, Mercury provides banking* for these ambitious startups, and they are in need of believers. 

As a Senior Credit Underwriter, you will be joining a team of lending experts with experience spanning unsecured cards to secured commercial credit. You will help shape our Working Capital loan product designed for eCommerce, software and managed services companies with a vision to extend to all small businesses. You will work directly with prospective borrowers to assess creditworthiness and structure creative lending solutions to support their growth. You will also partner with sales and product teams to innovate the go to market process, underwriting, and portfolio management needs of the rapidly scaling loan program. 

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

_____________________________________________________________________________________

As part of the journey, we would expect you to: 

• Underwrite loan application independently: Analyze quantitative and qualitative data across ecommerce, SaaS, and SMB borrowers. Structure, price, and propose loan terms that balance repayment capacity and Mercury’s risk posture.
• Own the customer-facing deal motion: Lead diligence calls with prospective borrowers, co-pilot active negotiations with AEs, provide real-time eligibility and structuring guidance, and support the sales team on complex or competitive applications from first touch through close.
• Monitor portfolio health: Support ongoing covenant monitoring, delinquency tracking, and portfolio review processes. Contribute to monthly portfolio reviews with early warning signal identification.
• Contribute to credit standards: Support drafting and refinement of underwriting guidelines, risk rating frameworks, and policy documentation.
• Work cross-functionally: Partner with Sales, Product, Engineering, and Data Science to improve the underwriting process, customer experience, and credit infrastructure.

What we are looking for:

• 5+ years of credit or underwriting experience in Fintech, SMB, or commercial lending, with meaningful customer-facing experience
• Strong credit fundamentals: financial statement analysis, risk rating, cash flow assessment, and identification of structural mitigants across diverse business models.
• Direct deal experience: has been in the room with customers during negotiations, underwriting calls, and structuring conversations — not just behind the analysis.
• Builder mindset: comfortable operating in a high-growth environment where process, tooling, and infrastructure are still being defined. 
• Cross-functional fluency: experience working alongside Sales, Legal, Product, and Engineering. Able to translate credit requirements into language that lands across teams.
• Exposure to regulated lending or institutional credit frameworks is a plus. Familiarity with credit file standards, lending policy documentation, and examination-ready governance practices is helpful as Mercury approaches bank charter, not a hard requirement.

The total rewards package at Mercury includes base salary, equity (stock options), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees located in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,900 - $160,700
• US employees located outside of New York City, Los Angeles, Seattle or the San Francisco Bay Area: $128,600 - $144,600
• Canadian employees (any location): CAD $135,000 - $151,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-AR1

First San Francisco Partners is seeking both employees and contractors for the Metadata Analyst role. This role is responsible to design, implement, and oversee establishment and delivery of enterprise Metadata solutions.

We are looking for a positive highly effective communicator that can lead without authority and has a passion for engaging with business, IT and C-suite stakeholders on Data Management projects to join our Delivery team remotely. Priorities change quickly within a consulting business, and we need someone who can recognize these changes and proactively shift work assignments to support the company. This position reports to the Director of Delivery and Operations and will collaborate and support our consultants and clients.  

What You'll be Doing: 

• Assess, define, and optimize various metadata management processes and standards such as business metadata definitions and technical metadata requirements
• Recommend new use cases. processes and standards as needed
• Support identification, prioritization, approach to remediate existing metadata.
• Deliver ongoing remediation cycle for prioritized business and technical metadata
• Support review and approval of extracted current metadata with relevant Business Data Stewards, Business SME’s, Data Custodians, etc., to review, validate, change, enhance, and update metadata documentation
• Support ingestion of updated and approved metadata into metadata tools
• Create and deliver metadata awareness, education, training, and communication materials
• Participate in business development, proposal creation and the contracting process
• Supports the development of project deliverables, synthesizes findings and integrates them into strategic-level deliverables
• Provides overall accountability for logistics within metadata engagement
• Provides quality assurance review of all metadata deliverables
• Documents and analyzes results from meetings, researches and reviews relevant documents
• Captures and documents business, functional and technical requirements
• Files all project artifacts and deliverables and maintains document inventory
• Facilitates required interactions and meeting sessions
• Works on tasks as directed by the Engagement Lead
• Coordinates the scheduling of meetings and develops, distributes and stores project artifacts, work papers and deliverables

What You Should Have: 

• BA/BS or advanced degree in Business/Computer Science/MIS or related field, or equivalent work experience
• 3 - 5 years’ experience in Information Management: Data or Enterprise Architecture, Data Quality, Master Data Management, Metadata Management, Data Warehousing and Business Analytics
• Familiarity with Business glossary, data dictionary, data catalog and data lineage
• Experience in business analysis: gathering data, synthesizing information, forming insights and providing feedback
• Experience with Metadata tools, such as Collibra, Alation, Purview
• Excellent attention to detail, a passion for quality work and the ability to communicate at various levels
• Strong presentation, verbal and written communication skills

About the Role

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.

Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators
• Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse
• Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection
• Expand internal account signals with new data sources and behavioral indicators to improve detection coverage
• Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness
• Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume
• Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve
• Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners
• Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes
• Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows
• Maintain detailed documentation of signal development, enforcement processes, and operational decisions

Qualifications:

• 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement
• Hands-on experience building detection systems, risk models, or enforcement processes and workflows
• Experience evaluating and integrating third-party data sources into detection or scoring pipelines
• Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships
• Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications
• Demonstrated ability to analyze complex data problems and translate findings into actionable improvements
• Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations
• Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field

You might be a good fit if you:

• Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar
• Are comfortable working with ambiguous, noisy data and extracting meaningful signal
• Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes
• Have experience with graph-based data, account-linking problems, or cross-functional process design
• Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches
• Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows
• Can balance deep analytical work with cross-functional collaboration and stakeholder coordination
• Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)

As our new Third Party Risk Analyst, you will play a critical role in protecting Anaplan by managing the risks associated with our third-party suppliers and reporting to our legal team. You will be responsible for the full lifecycle of third-party risk management, including identifying, assessing, mitigating, and monitoring risks to ensure our programs and business operations remain secure and resilient. This role requires a blend of analytical rigor, strong communication skills, and the ability to collaborate across various teams.

Your Impact

• Strengthen Resilience: Directly contribute to the security and resilience of Anaplan by developing and implementing a robust third-party risk management framework.
• Drive Compliance: Ensure that all third-party relationships adhere to company policies and are compliant with regulatory guidelines and industry best practices.
• Enable the Business: Partner with business units to support risk-aware decision-making, enabling them to work effectively with suppliers while safeguarding the company.
• Enhance Visibility: Create and manage reporting that provides leadership with clear insights into third-party risk posture, trends, and key performance indicators (KPIs).

Risk Assessment & Due Diligence

• Conduct comprehensive risk assessments of new and existing vendors, focusing on financial health, operational resilience, corporate, human capital, anti-corruption, ESG, and regulatory compliance.
• Perform thorough due diligence reviews, including the evaluation of risk questionnaires, documentation reviews, and standard supplier investigations.
• Ensure all new third-party due diligence and supporting documents are properly captured in the appropriate systems.

Monitoring, Reporting & Remediation

• Continuously monitor supplier performance, financial health, geopolitical exposure, and regulatory changes.
• Develop and manage corrective action plans and control documentation for identified risks; monitor and evaluate vendor remediation efforts to ensure timely resolution.
• Prepare and deliver risk reports and dashboards for leadership and governance committees, tracking risk ratings, policy exceptions, and other KPIs.

Collaboration & Process Improvement

• Collaborate with business units, legal, information security, and other risk subject matter experts to address and mitigate identified risks.
• Support internal, customer, and third-party audits related to supplier risk and compliance.
• Create and implement systemic solutions for supplier tracking and compliance, and stay current on industry trends and emerging risks impacting third-party relationships.

Your Qualifications

• A Bachelor's Degree in Business, Finance, or a related field.
• A minimum of two years of experience in Third-Party Risk Management, Information Security, Compliance, or a related role.
• Strong analytical skills with the ability to identify and resolve complex issues.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• A professional and ethical manner with a commitment to accuracy and thoroughness.

Sales at Brex

The Sales 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

Brex is looking for an individual to join the Revenue Operations Team, which is responsible for driving revenue growth in close partnership with revenue leaders. We help revenue teams drive consistent growth through regular reporting, analytical insights, process improvements, systems updates, strategic initiatives, cross-functional alignment, incentive design, and coverage model design. You should have an analytical mindset with a curiosity to get to the right solution to every problem. The ability to translate data into insights is critical as you will work closely with the Revenue Operations business partners, enablement, finance, systems, data, and revenue teams.

Responsibilities

• Create and update dashboards, reports, and presentations to give revenue leaders and operations partners the data they need to run their businesses
• Proactively identify opportunities to provide additional reporting or analytical clarity to better understand business performance
• Monitor pipeline health and funnel conversion metrics, surfacing trends and anomalies to sales and revenue operations leadership
• Run deep dive analyses to identify challenges and opportunities within the business
• Partner with Revenue Operations business partners and revenue leaders to support the design, implementation, documentation, and success tracking of operational solutions
• Assist with building complex capacity and funnel models for annual planning and scenario evaluation
• Respond to ad hoc data and reporting requests from sales leadership and cross-functional partners

Requirements

• 1-3+ years of experience in revenue operations, sales strategy, business operations, sales finance, or similar; preferably at a Fintech or SaaS company
• Analytical mindset with a desire for high data precision and accuracy
• Excellent written and verbal communication skills
• Comfortable working cross-functionally and managing requests from multiple stakeholders simultaneously
• Self-motivated and able to run with projects autonomously with moderate oversight
• Strong spreadsheet and modeling skills
• Basic to moderate SQL skills with experience in data visualization tools (Looker or Hex experience a plus)
• Comfortable working within CRM data models to extract, report on and interpret data (Salesforce preferred)
• Meticulous attention to detail, including in documentation

Bonus Points

• Exposure to sales compensation methodologies and tracking
• Experience supporting revenue annual planning cycles
• Knowledge of revenue recognition principles and finance systems
• Familiarity with marketing platforms such as Qualified or Leandata, sales engagement platforms like Outreach or Nooks, and sales management platforms such as Atrium or Gong. 
• Experience leveraging AI for analytics or process optimization

Compensation

Job Summary

The Product Analyst, Commercial Insurance supports the Sr. Commercial Product Leader across all product development, pricing, research, and filing activities. This role is ideal for an early-career insurance professional with strong analytical and technical skills who is excited to learn, innovate, and contribute to building modern commercial insurance products.

The Product Analyst will play a key role in product development projects, actuarial and competitive research, regulatory filings, data analysis, pricing model support, and development of forms and coverage structures. This role is highly cross-functional, partnering with underwriting, actuarial, claims, compliance, engineering, and data teams.

Key Responsibilities

Product Development Support

• Assist in developing and enhancing commercial P&C products across multiple lines of business.
• Support the Sr. Commercial Product Leader in drafting product requirements, preparing product documentation, and coordinating cross-functional workstreams.
• Participate in the research, planning, and evaluation of new product initiatives.

Analytics & Pricing

• Conduct data analysis to support pricing, product design, risk segmentation, and rate adequacy.
• Build and maintain analytical models using SQL, Python, R, SAS, or other statistical tools.
• Assist in monitoring product performance, including loss trends, underwriting patterns, and competitive benchmarks.
• Support the development of rating structures and pricing models for new and existing products.

Regulatory Filing Support

• Assist with state filing activities, including preparing components of filings, compiling exhibits, and supporting responses to regulator questions.
• Help maintain organized documentation and filing artifacts for tracking and compliance.

Market Research & Competitive Analysis

• Conduct research on competitor forms, rates, rules, and market trends to inform product decisions.
• Support competitive analysis that informs coverage design, pricing, and product positioning.

Cross-Functional Collaboration

• Work closely with underwriting, actuarial, claims, compliance, and engineering teams to support product implementation and updates.
• Assist with product testing and validation during system implementations or upgrades.
• Work on projects and initiatives supporting the Sr. Commercial Product Leader across product strategy, enhancement, and modernization efforts.

Additional Responsibilities

• Help create dashboards, reports, and insights using tools such as Power BI or other visualization platforms.
• Support documentation, training materials, and product communications.
• Contribute to automation and workflow improvements using AI tools, including OpenAI platforms (a plus).

Qualifications

Experience

• 3+ years of experience in the insurance industry, including roles in underwriting, claims, product, actuarial support, or data analytics.
• Experience working in an analytical capacity preferred (pricing, analytics, modeling, or quantitative problem-solving).
• Hands-on experience with SQL, Python, R, SAS, or similar tools.
• Experience with visualization tools (Power BI preferred).
• Experience with insurance product management or product development processes is a plus.
• Experience working with AI tools (including OpenAI platforms) is a bonus.

Education

• Bachelor’s degree required, ideally in Business, Math, Statistics, Economics, Finance, Insurance, Data Science, Actuarial Science, or related fields.
• Master’s degree is a plus.
• Insurance certifications (CPCU, AINS, ARM, etc.) are a plus.

Knowledge & Skills

• Strong analytical and quantitative skills; ability to manipulate and interpret data.
• Curiosity and a desire to learn commercial insurance product development.
• Excellent problem-solving skills with attention to detail.
• Effective communication skills, both written and verbal.
• Ability to manage multiple tasks and deadlines in a dynamic, fast-paced environment.
• Basic understanding of commercial P&C insurance products, coverage concepts, or rating principles preferred.

Compensation:
The base salary range for this role is $110,000 – $150,000, depending on experience and location, with eligibility for bonus, equity, and a competitive benefits package.

The Role: 

This role plays a key role in contributing, developing, and maturing an industry-best Credit Risk Management organization across SoFi Technologies, Inc. The incumbent will architect comprehensive risk management capabilities for a rapidly growing bank holding company – ensuring robust defensive and offensive capabilities – maturing foundational risk identification/risk mitigation, risk management frameworks, and risk culture.  The contributor will play an essential role in fostering regulatory readiness and maturing a strong effective challenge second-line Credit Risk function.    

The Credit Risk Oversight (2LOD) Senior Risk Analyst role is critical to success across SoFi Technologies, Inc., SoFi Bank, NA, and operating subsidiaries. The incumbent will contribute to the second-line oversight of Credit Risk across all SoFi’s lending products - Unsecured, Secured and Commercial Lending.   The analyst will conduct credit/behavioral/financial analytics or predictive modeling to assess risks and opportunities for the bank portfolios and translate results into recommendations.

The 2LOD Senior Risk Analyst will leverage internal and external data sources and technology capabilities in support of the oversight function.  Perform analysis to research credit and consumer behavior trends, understand their drivers, and conduct impact assessments on consumer credit portfolios. Evaluate how changes in the  environment impact credit performance – with a particular focus on macroeconomic, socioeconomic, and competitive intelligence trends. Research topics sourced internal and general industry trends and proactively apply quantitative disciplines to associate topics with potential emerging risks around delinquency, loss and roll-rates, and forecasts. 

What you’ll do: 

• Provide analytical support for data-driven insight generation through a combination of Credit domain expertise and analytical thought processes

• Generate insights, design analytics, and deliver visualizations to influence strategic decisions

• Monitor operational performance, roll rates, delinquent inventory, and credit loss trends.  Perform diagnostic analyses on all aspects of credit policies to make sure strategies are fully optimized.  Effectively communicate these trends to management

• Help review KPI/KRIs to ascertain the state of Credit Risk and evaluate the effectiveness of current policies and procedures

• Build compelling data visualizations and distill key information clearly

What you’ll need:

• 8+ years of Credit Risk Analytics industry experience with a bachelor’s degree in a quantitative discipline; Master’s Degree preferred

• Industry knowledge, including a sound understanding of relevant regulations as they apply to lending

• Proactive go-getter with energy and passion to work in a fast-paced environment and ability to generate creative ideas

• High motivation to drive change, eager to learn, and able to work collaboratively in a complex and fluid environment

• Demonstrated ability to think critically to identify and solve problems through structured analytical reasoning;  Excellent verbal, written and presentation / story-telling skills to bring analysis findings to the forefront and influence change.

• Proven analytical and data mining skills ; excellent command over one or more of SQL, Python, R, SAS.  Previous experience creating analytics on Tableau a plus

• Strong analytical and problem-solving skills to evaluate workflows and procedures; identify and resolve problems in a timely manner; develop alternative solutions; work well in group problem-solving situations; use reason even when dealing with emotional topics; support SoFi’s overarching strategic goals relative to loss prevention

The Role: 

This role plays a key role in contributing, developing, and maturing an industry-best Credit Risk Management organization across SoFi Technologies, Inc. The incumbent will architect comprehensive risk management capabilities for a rapidly growing bank holding company – ensuring robust defensive and offensive capabilities – maturing foundational risk identification/risk mitigation, risk management frameworks, and risk culture.  The contributor will play an essential role in fostering regulatory readiness and maturing a strong effective challenge second-line Credit Risk function.    

The Credit Risk Oversight (2LOD) Senior Risk Analyst role is critical to success across SoFi Technologies, Inc., SoFi Bank, NA, and operating subsidiaries. The incumbent will contribute to the second-line oversight of Credit Risk across all SoFi’s lending products - Unsecured, Secured and Commercial Lending.   The analyst will conduct credit/behavioral/financial analytics or predictive modeling to assess risks and opportunities for the bank portfolios and translate results into recommendations.

The 2LOD Senior Risk Analyst will leverage internal and external data sources and technology capabilities in support of the oversight function.  Perform analysis to research credit and consumer behavior trends, understand their drivers, and conduct impact assessments on consumer credit portfolios. Evaluate how changes in the  environment impact credit performance – with a particular focus on macroeconomic, socioeconomic, and competitive intelligence trends. Research topics sourced internal and general industry trends and proactively apply quantitative disciplines to associate topics with potential emerging risks around delinquency, loss and roll-rates, and forecasts. 

What you’ll do: 

• Provide analytical support for data-driven insight generation through a combination of Credit domain expertise and analytical thought processes

• Generate insights, design analytics, and deliver visualizations to influence strategic decisions

• Monitor operational performance, roll rates, delinquent inventory, and credit loss trends.  Perform diagnostic analyses on all aspects of credit policies to make sure strategies are fully optimized.  Effectively communicate these trends to management

• Help review KPI/KRIs to ascertain the state of Credit Risk and evaluate the effectiveness of current policies and procedures

• Build compelling data visualizations and distill key information clearly

What you’ll need:

• 12+ years of Credit Risk Analytics industry experience with a bachelor’s degree in a quantitative discipline; Master’s Degree preferred

• Industry knowledge, including a sound understanding of relevant regulations as they apply to lending

• Proactive go-getter with energy and passion to work in a fast-paced environment and ability to generate creative ideas

• High motivation to drive change, eager to learn, and able to work collaboratively in a complex and fluid environment

• Demonstrated ability to think critically to identify and solve problems through structured analytical reasoning;  Excellent verbal, written and presentation / story-telling skills to bring analysis findings to the forefront and influence change.

• Proven analytical and data mining skills ; excellent command over one or more of SQL, Python, R, SAS.  Previous experience creating analytics on Tableau a plus

• Strong analytical and problem-solving skills to evaluate workflows and procedures; identify and resolve problems in a timely manner; develop alternative solutions; work well in group problem-solving situations; use reason even when dealing with emotional topics; support SoFi’s overarching strategic goals relative to loss prevention

Account Executive, Bay Area — AI & Agentic Security

Operant AI | San Francisco Bay Area (Hybrid) | Account Executive

About Operant AI

Operant AI is the industry's most comprehensive real-time security platform for AI, Agents, and MCP. Recognized across six Gartner critical AI security reports — including AI TRiSM, MCP Gateways, API Protection, and Securing Custom-Built AI Agents — Operant is the category-defining company protecting the agentic AI era. Our platform delivers real-time discovery, detection, and defense across the full AI stack: LLM APIs, MCP servers and clients, autonomous agents, and the APIs they depend on.

Founded by former Apple, VMware, and Google executives and backed by Felicis and SineWave Ventures, we're a fast-moving team on a mission to make AI innovation safe at scale.

The Role

We're looking for an Account Executive, West Coast based in the San Francisco Bay Area who lives at the intersection of cybersecurity and AI — someone who can walk into a CISO's office and talk prompt injection, and then walk into an AI platform team and talk agentic workflows and MCP tool poisoning. This is a quota-carrying, “roll up your sleeves,” field-oriented role selling Operant's AI Gatekeeper, MCP Gateway, and Agent Protector products to enterprise and high-growth tech companies across the Bay Area and broader West Coast.

You will own the full sales cycle for your account list — from prospecting and discovery through technical validation and close — and will work closely with Solutions Engineering, Product, and Marketing to drive pipeline and revenue in your territory, while maintaining brand equity and customer trust by speaking expertly about the product and the industry with in-the-know buyers and teams who already have strong knowledge in the space. You should be able to clearly articulate the exceptional differentiation that Operant’s products provide in the market and operate with a shortened sales cycle that is in-line with the speed of the AI boom in SF (not a multi-year long traditional cyber sales cycle with multi-month long POCs) and cultivate and close highly qualified ICP leads, both inbound and outbound, who have already demonstrated urgency in filling open budget items and solving identified, critical security problems that are affecting their business-critical AI road maps, development, and growth goals.

What You'll Do

• Own and grow a Bay Area-anchored territory, targeting enterprise security buyers across industries including tech, financial services, healthcare, and defense.
• Drive net-new ARR by identifying and closing opportunities for Operant's AI Gatekeeper, MCP Gateway, and Agent Protector solutions, as well as new solutions launching multiple times per quarter. The ability to quickly get up to speed on new product and feature launches is critical.
• Navigate complex, multi-stakeholder sales cycles involving CISOs, AI/ML platform leads, security architects, and DevOps teams.
• Translate highly technical concepts — MCP security, agentic risk, runtime AI defense, non-human identity (NHI) controls — into clear business value for executive audiences.
• Partner with Solutions Engineers on technical deep-dives, POCs, and proof-of-value engagements, while still being able to converse at a technical level with technical CISO’s, VPs of engineering, and heads of AI who start first conversations with phrases like, “Don’t waste my time with marketing speak, just tell me if you can do x, y, or z and how long will it take.” You must be able to answer those questions yourself without passing it over immediately to a Sales Engineer. 
• Develop and manage a healthy pipeline with accurate forecasting in CRM (Apollo, Hubspot).
• Represent Operant AI at Bay Area and West Coast conferences, industry events, and executive briefings.
• Collaborate with channel and alliance partners to expand reach and accelerate deals.

What You Bring

Experience

• 3-5 years of B2B sales experience, with a track record of closing enterprise cybersecurity deals.
• Demonstrable experience selling cybersecurity solutions — ideally in runtime security, API security, cloud security, or AI/ML security.
• Working knowledge of AI and agentic systems — you understand what LLMs, AI agents, and MCP are, and why they introduce new attack surfaces.
• Experience selling to security personas (CISO, SecOps, AppSec) and technical platform personas (AI/ML leads, DevSecOps, platform engineering).
• Proven ability to run a full sales cycle independently in a fast-paced, early-stage environment.

Skills

• Strong technical acumen — you can hold your own in conversations about prompt injection, zero-trust, API security, and agentic AI without needing an SE in every meeting.
• Excellent discovery and value-selling skills; you ask great questions and connect product capability to customer pain.
• Clear, concise communicator — in writing, in decks, and in the room.
• Comfortable with ambiguity and motivated by building in a category-creating environment.
• Passionate lifelong learner who proactively self-teaches to stay in the know about technology and the industry at the absolute forefront of AI and Agentic development, and is able to translate that knowledge into pragmatic and empathetic understanding of the problems the buyers are trying to solve and how those problems impact end-users and real people.

Preferred

• Prior experience at a cybersecurity startup or category-defining security vendor.
• Familiarity with the AI security landscape — AI TRiSM, OWASP Top 10 for LLMs, MCP, and related frameworks.
• Existing relationships with West Coast enterprise security or AI platform teams.
• Bachelor's degree in a relevant field, or equivalent experience.

Why Operant

• Category leadership: The only vendor featured across six Gartner AI security reports in the last year alone — you'll be selling into genuine market demand with analyst-validated air cover.
• Right timing: MCP and agentic AI adoption is exploding. You'll be ahead of the wave, not chasing it.
• Compelling product: Runtime defense that actually works — real-time blocking, inline data redaction, and zero-trust enforcement built for AI agents.
• Mission-driven team: Founded by operators from Apple, VMware, and Google who've built at scale before.
• Competitive compensation: Base salary + uncapped commission + equity + full benefits.

What you’ll do

As Director of Product Marketing, you will define and drive the product marketing strategy at Brex, leading the charge in positioning our financial products to win in an evolving, competitive market. This role oversees the Product Marketing function, uniting cross-functional teams to deliver market-leading growth while ensuring Brex’s offerings are marketed in alignment with customer needs and business goals.

Reporting to the Chief Design Officer, this role sits at the intersection of product strategy, customer insight, marketing strategy, and creative execution. You’ll partner closely with product, sales, design, and marketing teams to shape the portfolio narrative, launch products, define campaign messaging and tactics, drive adoption, and solidify Brex as a leader in financial services and software. You will drive measurable impact on pipeline generation, win rates, expansion revenue, and product adoption.

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 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

• Define and own Brex’s product marketing strategy and execution, ensuring alignment with company priorities and evolving market opportunities
• Build and lead a high-performing Product Marketing team and establish scalable processes across portfolio marketing, segmentation, and vertical strategy
• Partner with Product to define product positioning rooted in a deep understanding of customer needs, the Brex portfolio, and the competitive landscape
• Craft compelling narratives, value propositions, and messaging frameworks that differentiate Brex’s portfolio and resonate with key customer segments
• Develop and execute GTM strategies and campaigns for launches, ensuring a unified narrative across the portfolio and collaboration across product, sales, design, and marketing teams
• Partner with Sales and Customer Success, equipping them with resources to succeed, including pitch decks, competitive insights, customer testimonials, and training materials
• Position Brex as a thought leader in financial services and software through speaking engagements, analyst relations, content contributions, and industry partnerships
• Monitor performance and refine strategies to maximize adoption, retention, and ROI

Requirements

• 12+ years of experience in product marketing, with at least 3 years in a leadership role, preferably at a high-growth SaaS or fintech company
• Proven ability to build and scale product marketing teams, including talent development and operational framework creation
• Exceptional communication and storytelling skills, with a track record of crafting narratives that drive measurable business outcomes
• Expertise in developing and executing GTM strategies for complex products
• Strong cross-functional collaboration experience, working closely with product, sales, customer success, design, and marketing teams
• Data-driven decision-making skills, with the ability to analyze performance metrics and adapt strategies to achieve goals
• Experience managing marketing budgets and influencing stakeholders

Compensation

The expected salary range for this role is $248,600 - $310,750.  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 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 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.

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 São Paulo 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

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ 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).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• 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.

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

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.

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 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 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.

What you’ll do

As Director of Product Marketing, you will define and drive the product marketing strategy at Brex, leading the charge in positioning our financial products to win in an evolving, competitive market. This role oversees the Product Marketing function, uniting cross-functional teams to deliver market-leading growth while ensuring Brex’s offerings are marketed in alignment with customer needs and business goals.

Reporting to the Chief Design Officer, this role sits at the intersection of product strategy, customer insight, marketing strategy, and creative execution. You’ll partner closely with product, sales, design, and marketing teams to shape the portfolio narrative, launch products, define campaign messaging and tactics, drive adoption, and solidify Brex as a leader in financial services and software. You will drive measurable impact on pipeline generation, win rates, expansion revenue, and product adoption.

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 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

• Define and own Brex’s product marketing strategy and execution, ensuring alignment with company priorities and evolving market opportunities
• Build and lead a high-performing Product Marketing team and establish scalable processes across portfolio marketing, segmentation, and vertical strategy
• Partner with Product to define product positioning rooted in a deep understanding of customer needs, the Brex portfolio, and the competitive landscape
• Craft compelling narratives, value propositions, and messaging frameworks that differentiate Brex’s portfolio and resonate with key customer segments
• Develop and execute GTM strategies and campaigns for launches, ensuring a unified narrative across the portfolio and collaboration across product, sales, design, and marketing teams
• Partner with Sales and Customer Success, equipping them with resources to succeed, including pitch decks, competitive insights, customer testimonials, and training materials
• Position Brex as a thought leader in financial services and software through speaking engagements, analyst relations, content contributions, and industry partnerships
• Monitor performance and refine strategies to maximize adoption, retention, and ROI

Requirements

• 12+ years of experience in product marketing, with at least 3 years in a leadership role, preferably at a high-growth SaaS or fintech company
• Proven ability to build and scale product marketing teams, including talent development and operational framework creation
• Exceptional communication and storytelling skills, with a track record of crafting narratives that drive measurable business outcomes
• Expertise in developing and executing GTM strategies for complex products
• Strong cross-functional collaboration experience, working closely with product, sales, customer success, design, and marketing teams
• Data-driven decision-making skills, with the ability to analyze performance metrics and adapt strategies to achieve goals
• Experience managing marketing budgets and influencing stakeholders

Compensation

The expected salary range for this role is $248,600 - $310,750.  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 Us

Climate Lead empowers philanthropic leaders everywhere to take immediate and far-reaching climate action. By serving as an impartial guide, Climate Lead equips new climate philanthropists with the information and insights they need to drive transformative solutions. We cut through the complexity by curating roadmaps, in partnership with a diverse network of experts, to help philanthropists make a bold impact on climate.

Summary

The Director will lead key team operations, including planning, budgeting, and project distribution, and will manage the team responsible for the Knowledge Management System (KMS) of climate solutions in order to expand the Global Climate Strategies team’s capacity to deliver high-impact solutions, expertise, and advisory services for new climate philanthropists.

Managerial Responsibilities

This role has two direct reports: 

• Assistant, Knowledge Management System (KMS)
• Analyst, KMS

Essential Duties and Responsibilities

Team operations (55%)

• Serve as a senior member of the GCS team (5%) 
• Together with the Managing Director, Deputy Managing Director, Directors and the Associate Director of Partnerships, foster a collaborative GCS team environment
• Providing proactive mentorship and leadership for new and existing teammates. 
• Support the MD and DMD in socializing and implementing organizational priorities and conducting special projects, as needed.
• Lead hiring and onboarding for GCS (10%)
• Lead GCS team onboarding plan development and implementation
• Lead recruitment and onboarding of GCS operations staff
• In collaboration with People team, support the onboarding of other Climate Lead staff
• Lead team planning and tracking (10%)
• Lead development and tracking of annual budget
• Develop and implement processes to set the team's strategic objectives
• Lead tracking and review of team objectives and reporting. 
• In close partnership with the MD, update the Leadership Team and cross-team peers on progress, challenges, and any changes needed to achieve priority goals.
• Lead team meetings, retreats, and communication (15%)
• Plan team meetings to advance priorities and foster learning.
• Lead planning and execution of team retreats to drive alignment, innovation, and team unity.
• Partner with MD on team communications and strategically share with the broader organization as needed.
• Oversee systems, processes, and data (15%)
• Design and deploy tools, systems, and processes that enable the work to flow within and across teams, partnering closely with Salesforce counterparts on other teams. 
• Advance the team’s capabilities to leverage data in decision-making and prioritization by sharpening definitions of priority metrics, simplifying data collection and cleaning, and strengthening analysis and dashboards. 
• Oversee optimization of Salesforce and the team’s knowledge management system, including new development, protocols, trainings, and driving adoption.
• Oversee risk management for GCS systems and data, and coordinate with the Climate Lead Operations team to share learnings and best practices.

Management responsibilities (20%)

• Hire, train, and supervise a team of two individuals focused on the organization’s knowledge management system.

Cross-Team Operations (25%)

• Strategic cross-team collaboration (20%)
• Partner closely with Philanthropy and Communications teams to promote strategic alignment and a strong culture of collaboration.
• Work with the Philanthropy and Communications teams to help organize project teams for specific donor touchpoints/products. Spot and lift bandwidth trade-offs to ensure prioritization of the highest-impact work.
• Cross-team collaboration on specific projects (5%) 
• Contribute to Climate Lead organizational goals and culture through active participation in cross-team workshops and working groups (e.g., Values Working Group, X-team process workshops, etc).

Success Criteria

Embraces collaborative teams: Help build, lead, and coach high-performing and highly collaborative teams; bring a genuine respect for Climate Lead's collaboration model, working in a participatory way across the organization.

Systems Orientation: Excited by opportunities to create or improve existing systems and processes to effectively meet organizational demands and promote operational excellence, while simultaneously planning for future growth needs that will allow the GCS team to scale their capabilities and bandwidth. Focused on solutions that put human users at the center and align with the organization’s culture.

Entrepreneurial: Self-starter with a strong entrepreneurial orientation thriving in new, fast-paced ventures; energized by helping to build something new and innovative; objective approach to the full breadth of climate strategies and solutions will be essential in order to work effectively across a wide spectrum of networks, partnerships, and funder groups. Capable of being both a strategic contributor and a tactician, comfortable with hands-on implementation and administration.

Servant leadership: Active inquiry and learning; thrive by creatively synthesizing ideas and input from multiple sources, and an ability to recognize excellence; pinpoint key questions, distill frameworks, weigh competing points-of-view, and synthesize actionable findings with rigor and speed. Appreciates working in an advisory or consultative setting.

Emotional Intelligence: Comfortable considering multiple points of view and encouraging constructive feedback.

Knowledge, Skills, Abilities

• Minimum of BS or BA in a relevant field
• 10+ years experience leading and managing teams
• Experience scaling processes and operational functions, ideally in a philanthropy or non-profit
• Experience with Salesforce or other relational databases 
• Ability to help define and support the growth of the team and the organization with vision, creativity, and commitment.
• Demonstrates broad climate experience and expertise working across sectors and ideally brings an ability to think globally and have an international network.
• Demonstrates an understanding of how philanthropies function, ideally in the climate space 
• Outstanding writing, editing, and verbal communication skills with an emphasis on clear, compelling presentation for audiences new to climate change.
• Understanding of and experience with knowledge management systems and using data for decision making
• Passion for and belief in the importance of creating a team and work environment in which people from diverse cultural, social, and ethnic backgrounds can thrive.
• Exhibits strong ethics, judgment, and discretion required when working with and supporting high-profile philanthropists.

Salary Range: $198,000- $221,000

Work Environment

Climate Lead is headquartered in San Francisco, CA. This position operates in a hybrid environment and is based in our San Francisco, CA, office. Staff in the San Francisco Bay Area currently work in the office Tuesday through Thursday each week and typically work from home the other days. 

At the Climate Lead, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of or traits historically associated with race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran and/or military status), domestic violence victim status, political affiliation, and any other status protected by state or federal law.

MKTQ227R16

Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic SIEM that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response.

We are looking for a senior product marketer to own the product marketing strategy for Lakewatch and lead its next phase of growth. In this role, you will define the Lakewatch narrative, partner with product and engineering to shape the roadmap and launches, and collaborate closely with sales, partner marketing, and the broader marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks.

This role sits within the product marketing organization and works cross-functionally with product, engineering, sales, and alliances.

The impact you will have:

• Hit or exceed Lakewatch pipeline and revenue goals by defining and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months.
• Increase Lakewatch adoption and usage across priority customer segments by establishing a compelling narrative and positioning that differentiates Databricks in cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.
• Establish Databricks as a recognized leader in cybersecurity and security analytics by driving thought leadership, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and security-related pipeline contribution.
• Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new Lakewatch capabilities within defined timeframes after launch.
• Improve sales and overlay effectiveness in Lakewatch opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch win rates and reduce sales cycle times across core regions and segments.
• Grow partner-sourced and partner-influenced Lakewatch pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.
• Continuously optimize Lakewatch GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion).

What we look for:

• Extensive product marketing experience in enterprise cybersecurity software, with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings.
• Proven ability to build and scale GTM for new or early-stage products, including setting goals, defining segment and persona strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.
• Track record of crafting positioning and storytelling for both security practitioners and business stakeholders that led to measurable improvements in engagement, win rate, deal size, or solution attach.
• Demonstrated success partnering with product and engineering to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention.
• Experience enabling global sales and partner organizations on new solutions or categories, with evidence that your plays, content, and enablement improved Lakewatch-like outcomes such as win rates, sales cycle times, or attach rates.
• Experience collaborating with cloud and technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.
• Strong communication and executive presence, comfortable leading cross-functional initiatives, influencing without direct authority, and representing the product with customers, partners, analysts, and at industry events.
• Comfort operating in a fast-paced, highly cross-functional environment, where you help define new motions and processes rather than simply optimizing established playbooks.

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct an in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

About the role

As a Trust & Safety Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization’s mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

About the role

As a Spending Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build products that make Chime banking the best place to spend, save and invest. Spending XFN organization’s mission is to deliver industry-leading spending products that members want to keep top of wallet. Our spending products help our members spend and manage their money, offering unmatched simplicity, rewards, and tools that bring them financial progress. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.