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

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

Key Responsibilities

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

Requirements

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

Nice to Haves

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

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

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

About this role

The Account Manager, Fulfillment owns the post-onboarding relationship for a portfolio of brands enrolled in Fulfilled by Faire. This is a commercially-oriented role sitting at the intersection of customer success, strategic account management, and operational consulting. The AM is accountable for brand retention, unlocking addressable SKUs within FbF, and driving the consolidation of non-Faire wholesale volume onto the platform — ultimately increasing FbF's share of each brand's total distribution.

This role requires equal fluency in relationship management and data-driven storytelling. The best AM will translate operational metrics into commercial conversations, coach brands on the cost, ease, and growth benefits of FbF, and proactively identify at-risk accounts before churn signals become churn events.

What you’ll do 

1. Business Reviews & Brand Relationships

• Own the QBR/MBR cadence for your portfolio of brands — prepare, deliver, and follow up on structured business reviews that connect FbF operational health to brand revenue outcomes. Note: this is specific to Fulfillment, different than BSMs
  • BSM = general portfolio of programs and brand perf on Faire, how's it all going, ROI of each program etc.
  • Fulfillment AM = goal of retention + revenue; then how to coach brands on cost/ease/growth
• Build multi-threaded relationships within brand accounts (founder, ops lead, sales director) to ensure Faire has a durable presence beyond a single point of contact.
• Develop and maintain a living account plan for each brand documenting their wholesale strategy, growth goals, pain points, and consolidation opportunity.
• Track and surface brand health signals (fulfillment SLA trends, return rates, catalog coverage, order velocity) to shape the review narrative and prioritize interventions.

2. Churn Prevention & Retention

• Maintain a real-time risk register for your portfolio — flag brands showing signs of disengagement (declining order volume, SLA friction, support ticket escalation, low catalog activity) and activate retention protocols before churn is formally triggered.
• Lead escalation management for brands experiencing fulfillment issues; coordinate internally with FbF Ops and Warehouse teams to resolve and close the loop with the brand (including post onboarding questions + feedback)
• Build and recommend custom “save” plans for at-risk accounts, including fee concessions, operational audits, and executive engagement where warranted (ie where to offer appeasements and program benefits)
• Conduct structured off-boarding interviews with any brand that churns to capture root cause and feed insights back to product, ops, and leadership.

3. Consolidation & Non-Faire Wholesale Volume

• Map each brand's total wholesale footprint — identify the volume, channels, and retail segments currently fulfilled outside of Faire and quantify the consolidation opportunity.
• Build and present a compelling consolidation case tailored to each brand: cost per order comparison (FbF vs. 3PL vs. self-fulfill), SLA reliability benchmarks, and projected net margin impact of migrating volume to FbF.
• Develop milestone-based migration plans for brands willing to consolidate, coordinating with Warehouse Ops to ensure capacity and onboarding support.
• Track consolidation pipeline and report GMV-at-risk (volume outside Faire) alongside GMV-converted (volume successfully moved to FbF) in your portfolio metrics.

4. Catalog Penetration & Upsell

• Audit each brand's active Faire catalog against their full SKU assortment — identify categories, price points, or product lines with low representation on the platform.
• Partner with brands to expand catalog depth and breadth, with particular focus on high-velocity SKUs and seasonal assortment that can drive incremental retailer demand.
• Position catalog growth as a retention lever: more SKUs in FbF increases platform stickiness and makes brand consolidation structurally harder to reverse

Qualifications

• 3–5 years of experience in account management, customer success, or strategic partnerships — preferably in a marketplace, logistics, e-commerce, or B2B SaaS context.
• Demonstrated track record of owning commercial outcomes (retention, expansion revenue, or upsell) within a named account portfolio.
• Strong analytical fluency — able to pull and synthesize data from BI tools (Looker, Mode, Snowflake) to build business cases and executive-level narratives.
• Excellent written and verbal communication; comfortable presenting to brand founders and operators with conviction and clarity.
• Experience managing escalations and cross-functional coordination under time pressure.

Preferred

• Background in wholesale, retail supply chain, 3PL operations, or fulfillment — understanding of landed cost economics and operational trade-offs is a meaningful differentiator.
• Experience at a marketplace or platform company with both buyer and seller stakeholders.
• Familiarity with Zendesk, Salesforce, or similar CRM/support tooling.
• Comfort with ambiguity and iterative process-building; this role will help define its own playbook.

Salary Range

On-Target Earnings (OTE) Range
San Francisco: the pay range for this role is $132,000 to $181,500 per year.

This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.

About the role

We’re seeking a Strategic Finance Senior Associate to join the Finance team at Chime. As a finance team member, you will have a key role in collaborating with the Strategic Finance team to shape our business and financial strategy, while completing numerous high-impact initiatives at the company. You will help us build unit economic frameworks to better understand our business model to drive continuous improvement of KPIs, while collaborating with cross-functional business partners to evaluate the ROI of products, features, and initiatives. We are looking for an analytical problem-solver with a strategic mindset - someone who can do more than just crunch numbers! A key part of this role is the ability to understand the details while keeping sight of the broader strategy.  The StratFin team routinely interacts with senior executives and cross-functional partnership is an everyday occurrence, so effective communication skills are a must!

The base salary offered for this role and level of experience will begin at $119,000.00 and up to $165,000.00. 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

• Support the development of unit economic frameworks to evaluate the ROI of various products, features, and business strategies and guide Chime’s decision-making
• Evaluate economic viability and drive strategy for Chime’s new and emerging products
• Build strong working relationships with cross-functional teams including Product, Risk, Analytics, and Banking Partnerships to strategically advise on financial impact and improve business performance
• Use tools such as Pigment to manage and own financial forecasts and advise executive leadership on business unit and product performance on a regular basis
• Facilitate financial analysis to support strategic deal negotiations with key vendors and partners
• Contribute to board/investor materials, public facing materials & disclosures, and other external reporting to advise investors and other key partners on overall company financial health and product positioning & performance
• Guide and partner closely with our Analytics team to create dashboards and KPIs to track product health, as well as evaluate experimental results 

To thrive in this role, you have    

• 3-4 years of relevant experience in strategic finance, investment banking, private equity, consulting or venture capital; prior experience at high-growth technology or financial technology startups a plus
• Expertise in Excel / Google Sheets - you can build scalable, efficient, and intuitive models with ease and are eager to improve processes with AI integrations; Experience with Looker, SQL, or Pigment a plus
• Comfort creating and presenting materials to an executive audience - proven ability to synthesize key takeaways and easily communicate with key collaborators, cross-functional partners and senior leadership
• Strong analytical, financial modeling and problem-solving skills; building financial models and ad-hoc analyses should come naturally
• Passion for digging into the details and moving quickly at a hyper-growth fintech
• Ability to thrive in ambiguous situations and take ownership without clear direction 
• A natural curiosity to think critically, to ask questions, and desire to evolve our business
• A team-oriented mindset and a positive attitude

#LI-BE1 #LI-Hybrid

About the Role

The Senior Processor Implementation Manager is a senior individual contributor role within ChimeCore’s Processor Operations function, focused on ensuring the reliable implementation, validation, and operational readiness of payment processors, funds flows, and platform changes across ChimeCore. This role exists to apply deep system knowledge, operational judgment, and data expertise to complex payment workflows while partnering closely with Engineering, Accounting, Finance and Banks Operations teams. Success in this role is defined by high-quality implementations, faster issue resolution, and strong cross-functional trust.

The base salary offered for this role and level of experience will begin at $156,000 and up to $215,000. 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

• Lead complex processor implementations, migrations, and platform changes within defined Processor Operations scope, ensuring operational readiness and clear handoff to steady-state owners.
• Serve as a subject matter expert on ChimeCore payment flows, transaction lifecycles, and data models across multiple payment rails.
• Partner with Engineering to review changes, validate operational assumptions, and surface downstream impacts, running it by leadership where approval authority is required.
• Support Accounting, Audit, Risk, and Finance by interpreting platform behavior and transaction data to aid investigations and reporting
• Participate in incident response and escalations by driving investigation, proposing hypotheses, and supporting remediation, with accountability shared across owning teams.
• Define expected versus anomalous processor behavior and contribute to the design of monitors and alerts in partnership with Engineering and Processor Operations.
• Perform advanced data analysis and SQL-based investigations to support reconciliation research root-cause analysis and be able to articulate the finding to a broader audience. Produce clear documentation of processor behavior, funds flows, and operational nuances to reduce dependency on individual knowledge.
• Act as a trusted advisor to Implementation and Reconciliation Managers, providing implementation context and guidance while avoiding single-threaded dependency.

To thrive in this role, you have

• 8+ years in bank and/or payment operations with a broad understanding of operations; including accounting, funds flow, settlement, processing, etc. 
• A strong reconciliation background
• An understanding of the end-to-end payments ecosystem, including payment methods, card networks, issuer processing, and the regulatory environment
• An understanding of ACH originations, returns, settlements and everything in between, AAP certification is a huge plus
• Familiarity with network operations including Visa, Mastercard, PLUS, and Star, as well as with network vendors that facilitate AFT/OCT payments and other forms of card-based money movement
• Extensive experience with Google Office (Sheets, Docs and Slides), analytics platforms (Looker, Snowflake), SQL, core banking systems and related products.
• Experience working cross functionally with Product, Accounting, Compliance, Legal, Risk & Engineering to identify, evaluate and size opportunities and prioritize work
• Experience driving continuous improvement projects, where you’ve applied deep knowledge to uncover and execute both short term and long term optimizations
• A member obsessed mindset, eager to learn and improve the user experience
• A curious and creative problem solving ability - can facilitate resolution of issues in a timely manner by working cross-functionally with product and engineering teams
• Excellent business acumen, communication skills and a self-starting attitude

#LI-Onsite #LI-GC1

About the role 

We’re seeking an Accounting Manager that will play a meaningful role supporting the Accounting function at Chime! This role will be a part of the Controllership team, essential to the company’s month-end close process. In this role, you will have the opportunity to improve the efficiency of close processes, take ownership of challenging and complex accounting areas and support major projects that impact the entire accounting organization. 

The base salary offered for this role and level of experience will begin at $119,000.00 and up to $165,000.00. 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 

• Actively be involved in the monthly close process, including the preparation of reports and analysis and reviewing various journal entries of staff 
• Prepare journal entries, balance sheet reconciliations and flux analysis at month-end close 
• Help document, implement and maintain appropriate accounting policies, processes and internal controls 
• Improve existing processes, controls, and documentation, suggest and implement improvements to scale and automate manual procedures 
• Collaborate with key cross-functional partners including finance, data analytics, marketing, legal and others on a variety of projects 
• Support the accounting team on critical accounting projects, including the implementation of system improvements, new product launches and other ad-hoc items
• Support external audit requirements 
• Assist in financial reporting during the month-end and quarterly close process

To thrive in this role, you have 

• Bachelor’s degree and a minimum of 5-7 years of accounting or finance experience. Big 4 public accounting preferred 
• CPA, or CPA candidate preferred, with proven understanding of U.S. GAAP
• Demonstrate attention to detail and experience in balancing multiple projects simultaneously to achieve results 
• Excellent interpersonal, time and self-management skills & ability to prioritize
• Phenomenal teammate with a positive attitude that embraces change and thrives in a fast-paced environment 
• Strong analytical and problem solving skills, proactive and faces challenges head-on
• Advanced Microsoft Excel/Google Sheets skills, with the ability to manipulate and digest mass amounts of data 
• Bonus Experience: Month-end close, SOX, Netsuite, SQL, and Looker

#LI-BE1 #LI-Onsite

About the role

We’re seeking a Finance Associate to support the Payments function at Chime! In this role, you will play a critical part in ensuring forecasting accuracy while driving forward high-impact strategic and financial initiatives. You’ll partner closely with business leaders and finance team members to provide insights, influence decision-making, and help shape Chime’s financial strategy.

Supporting Cost of Revenue (COR), you will collaborate with cross-functional partners across Strategy, Product, Data, Engineering, and Accounting to drive accuracy, visibility, and predictability in our cost forecasting. You will help design and operationalize scalable forecasting models, improve data pipelines, and ensure alignment between financial models and underlying business drivers.

You will support key COR forecasting areas such as processing, network, and bank-related costs, partnering with stakeholders to understand key drivers like transaction volume, pricing changes, and product evolution. You will also work closely with Accounting during close to validate actuals, explain variances, and ensure financial accuracy.

In addition, you’ll play a key role in the bottoms-up planning and forecasting process,  develop financial models and reporting, and proactively identify opportunities to leverage AI and automation to improve forecasting accuracy, scalability, and efficiency. We are looking for an analytical problem-solver who can break down complex problems into actionable components without losing sight of the overall strategy.

The base salary offered for this role and level of experience will begin at $105,000.00 and up to $145,000.00. 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

• Own and improve COR forecasting processes, incorporating key drivers such as transaction volumes, pricing, vendor changes, and product evolution
• Develop, deliver, and maintain Cost of Revenue reporting and dashboards (e.g., vendor costs, transaction drivers) to ensure visibility and accuracy for business and finance leadership
• Partner cross-functionally with Strategy, Product, Data, Engineering, and Accounting to support financial decision-making and accountability
• Support monthly close processes by validating actuals, and explaining variances and business performance across COR categories
• Leverage AI and automation to streamline financial processes, improve data quality, and enhance scalable reporting and forecasting capabilities that support Chime’s growth and enable smarter, faster decision-making
• Support ad hoc analyses and strategic initiatives focused on optimization opportunities across COR

To thrive in this role, you have

• Minimum 3+ years of Finance/FP&A, investment banking, Big 4 accounting/advisory, or consulting experience
• Bachelor's Degree, or equivalent degree in Finance, Accounting, Economics or other relevant field
• Track record of budgeting, forecasting, and financial modeling with strong accuracy and attention to detail
• Strong sense of ownership and commitment to quality, working diligently to navigate ambiguity/obstacles and drive projects to completion
• Strong process-improvement mindset with demonstrated ability to leverage AI and automation to scale finance workflows and improve forecasting precision and turnaround time
• Proven ability to manage multiple priorities and competing deadlines in a fast-paced environment
• Advanced G-Suite, Microsoft Excel, Word, and presentation tools (PowerPoint, G-Slides) skills required
• Experience identifying, designing, or deploying AI-driven use cases within finance workflows (e.g., forecasting automation, reporting acceleration, variance analysis, or scenario modeling)
• Bonus Experience: Pigment, Netsuite, Looker, Workday, SQL, Snowflake, Python/coding tools, and direct experience with R&D and/or transaction loss forecasting

#LI-BE1 #LI-Onsite

About the role

Chime is looking for a Senior Manager of Marketing Analytics to lead and scale our Marketing Analytics function during a critical phase of growth. In this role, you’ll set the vision for how marketing analytics drives business strategy.  You’ll lead a high-performing team using descriptive analytics, modeling, and experimentation to advise Marketing and Executive leadership on where and how to invest for maximum impact.

The base salary offered for this role and level of experience will begin at $188,000 and up to $260,000. 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

• Drive business outcomes.  This role is critical for the Growth org, this team is meant to deliver outcomes not academic analyses that will sit on a shelf
• Set and implement the vision and strategy for the Marketing Analytics team
• Lead, mentor, and scale a team of marketing analysts, fostering high standards for technical rigor and business impact
• Prioritize the team’s work.  Improve the team’s processes using AI.
• Own the company’s marketing reporting and analysis for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV
• Build scalable reporting infrastructure and self-serve tools that improve marketing velocity and accountability
• Use MMM, experimental, and quasi-experimental methodologies to estimate incremental impact
• Translate complex analyses into clear and persuasive executive-level recommendations.  Partner with Marketing, Finance, and Product leadership to inform budget allocation and investment strategy

To thrive in this role, you have

• 10+ years of experience in analytics or a related quantitative field, with 8+ years in Marketing Analytics within a B2C technology company
• A results-oriented mindset with a bias toward action, clarity, and high standards
• Exceptional stakeholder management skills and experience influencing senior leadership and cross-functional executives
• A demonstrated record of using data to drive measurable business impact in a consumer-facing marketing team.  Experience with brand and performance marketing and how marketing teams operate those functions
• Experience leading and developing high-performing analytics teams, with a track record of elevating talent and building strong culture
• Deep expertise in marketing measurement, including attribution modeling, media mix modeling, causal inference, customer lifetime value modeling
• Strong SQL proficiency and experience working with large-scale data warehouses
• Proficiency in BI and visualization tools (e.g., Looker, Tableau, PowerBI); experience improving data accessibility across organizations
• Strong statistical foundation (e.g., hypothesis testing, predictive modeling, experimental design), experience with Python

#LI-AM1 #LI-Hybrid

About the Role

We’re seeking a Strategic Finance Manager to join Chime’s Growth & Marketing Finance team. This role partners closely with cross-functional leaders across Growth, Marketing, Product, and Data to evaluate growth initiatives, measure performance, and inform strategic investment decisions. Our team’s mandate is to bring rigorous, data-driven insights to help Chime scale efficiently and drive sustainable growth.

As a thought partner to the business, you will play a critical role in shaping how Chime evaluates and prioritizes growth opportunities—from new acquisition strategies to new product launches. You will structure complex business questions, build analytical frameworks, and translate performance data into clear recommendations that influence how and where we invest.

As Chime continues to expand, we’re looking for versatile, strategic thinkers who can move fluidly between deep analysis and cross-functional leadership. In this role, you’ll lead growth-focused analyses end-to-end- from problem definition and hypothesis development through modeling, insight generation, and executive communication - while working closely with partners to drive alignment and execution. Success in this role requires strong analytical rigor, sound judgment, and the ability to operate with ownership in a fast-paced, evolving environment.

The base salary offered for this role and level of experience will begin at $141,000.00 and up to $$195,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with Finance, Marketing, and Product leadership to support growth strategy discussions, define success metrics, and measure the impact of growth initiatives across the user lifecycle
• Lead cohort-based analyses and deep dives by extracting, visualizing, and synthesizing data to identify performance trends, key drivers, and areas of opportunity across acquisition and engagement
• Evaluate risks and opportunities to the current growth plan by developing a holistic understanding of Chime’s marketing and growth roadmap
• Develop, deliver, and maintain clear, insightful reporting that helps business leaders track progress vs expectations 
• Support and continuously improve forecasting processes, systems, and tooling to better reflect growth dynamics, streamline operations, and enhance scalability and automation
• Contribute to earnings preparation and executive narratives related to user growth, translating complex analyses into clear insights and externally facing performance stories
• Leverage automation and emerging AI capabilities to enhance reporting, streamline workflows, and improve scalability

To thrive in this role, you have

• 8+ years of relevant experience in Strategic Finance, investment banking, private equity, consulting, venture capital or a related field, ideally within a high-growth technology environment
• Exceptional skills with building scalable, efficient, and intuitive financial models; prior experience with Looker and SQL a plus
• Demonstrated prior experience with cohort data and ROI analysis; familiarity with marketing ecosystem, acquisition channels, and channel KPIs a plus
• Excellent communication skills, capable of synthesizing complex findings into concise and actionable insights 
• High attention to detail and a strong ownership mindset, with the ability to manage multiple priorities and deliver accurate work in a fast-paced environment
• Ability to work and influence cross-functionally with minimal guidance; you will communicate with cross-functional partners and senior leadership on a weekly basis

#LI-BE1 #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 Lead Data Analyst to drive forecasting for key growth and revenue drivers and deliver insights that shape business decisions. You’ll own end-to-end forecasting workstreams such as member growth, purchase volume, deposit volume, and intramonth performance tracking - while partnering closely across Analytics, Data Science, Product, Marketing, and Investor Relations.

This role is ideal for someone who’s highly analytical and model-driven, but equally strong at turning numbers into a clear narrative that leaders can act on.

The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. 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 core forecasting workstreams for key business metrics (e.g., member growth, purchase volume, deposit volume), including in-year outlooks and contributions to longer-range forecasting.
• Build, maintain, and improve forecasting models that are accurate, transparent, and scalable; document assumptions and create repeatable processes.
• Run intramonth pacing, variance, and sensitivity analyses, identifying key drivers and surfacing risks/opportunities early.
• Develop scenarios and “what-if” analyses to support planning and real-time decision-making (e.g., upside/downside cases, impact of product or marketing changes).
• Partner cross-functionally to align inputs and assumptions, reconcile differences across reporting/forecasting views, and ensure a single source of truth where possible.
• Own unit economics and profitability analytics, including LTV/CAC, ROI analysis, and framework development for evaluating product and growth initiatives.
• Improve dashboards and forecasting tooling (spreadsheets, Looker/Pigment or similar) to increase visibility, consistency, and speed of insight.

To thrive in this role, you have

• 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role (fintech/payments/consumer financial services is a plus).
• Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders.
• Strong modeling instincts: comfortable living in the details (assumptions, drivers, sensitivities) while keeping the business story straight.
• Excellent communication: able to translate analytical output into crisp narratives, tradeoffs, and recommendations for technical and non-technical audiences.
• Expert SQL skills - able to translate business questions into robust queries, understand edge cases, and explore a warehouse efficiently to find the right data.
• Proficiency in Python or R - writes reproducible, well-structured code with a tendency toward automation and scalable analysis.
• High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments.

#LI-Hybrid #LI-BE1

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

About the role

We’re seeking a Staff Accountant that will play a meaningful role supporting the Accounting function at Chime! This role will be a part of the Controllership team, essential to the company’s month-end close process. In this role, you will have the opportunity to improve the efficiency of close processes, take ownership of challenging and complex accounting areas and support major projects that impact the entire accounting organization.

The base salary offered for this role and level of experience will begin at $65,000 and up to $90,000. 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

• Actively be involved in the monthly close process, including the preparation of reports and analysis
• Prepare journal entries, balance sheet reconciliations and flux analysis at month-end close
• Help document, implement and maintain appropriate accounting policies, processes and internal controls
• Improve existing processes, controls, and documentation, suggest and implement improvements to scale and automate manual procedures
• Collaborate with key cross-functional partners including finance, data analytics, marketing, legal and others on a variety of projects
• Support the accounting team on critical accounting projects, including the implementation of system improvements, new product launches and other ad-hoc items
• Support external audit requirements
• Assist in financial reporting during the month-end and quarterly close process

To thrive in this role, you have

• Bachelor’s degree and a minimum of 2-3 years of accounting or finance experience. Big 4 public accounting preferred.
• CPA, or CPA candidate preferred, with proven understanding of U.S. GAAP.
• Demonstrate attention to detail and experience in balancing multiple projects simultaneously to achieve results.
• Excellent interpersonal, time and self-management skills & ability to prioritize
• Phenomenal teammate with a positive attitude that embraces change and thrives in a fast-paced environment.
• Strong analytical and problem solving skills, proactive and faces challenges head-on
• Advanced Microsoft Excel/Google Sheets skills, with the ability to manipulate and digest mass amounts of data
• Bonus Experience: Month-end close, SOX, Netsuite, SQL, and Looker

#LI-BE1 #LI-Hybrid

About The Role

We are seeking a highly analytical and process-driven Sales and Marketing Operations Manager to join our Revenue Strategy and Operations team. In this pivotal role, you will bridge the gap between marketing strategy, sales execution, and data-driven decision-making. The ideal candidate will optimize the entire lead-to-revenue funnel, streamlining operations and leveraging data to enhance overall business performance.

Responsibilities

• Full-Funnel Reporting: Develop, maintain, and automate integrated dashboards that provide actionable insights into the entire customer journey, from initial marketing touchpoints to closed-won sales.
• Performance Analysis: Analyze data across the full tech stack (CRM, Marketing Automation, Web Analytics) to identify trends, conversion bottlenecks, and high-growth opportunities.
• Attribution & ROI: Collaborate with finance and leadership to refine attribution models, ensuring clear visibility into marketing's contribution to the sales pipeline and overall ROI.
• Forecasting: Define and track key performance indicators (MQLs, SQLs, Win Rates, CAC, LTV) to provide accurate revenue forecasts and identify potential risks.
• Tech Stack Management: Oversee and optimize our integrated technology stack, including Salesforce, marketing automation (e.g., HubSpot), and sales engagement tools (e.g., MixMax).
• Process Optimization: Design and implement scalable workflows for lead routing, lead scoring, and automated nurturing programs to ensure seamless handoffs between teams.
• Data Integrity: Maintain a "source of truth" by ensuring data cleanliness, implementing data enrichment strategies, and managing audience segmentation for targeted campaigns.
• Strategic Alignment: Act as the primary liaison between Sales and Marketing to ensure alignment on definitions, goals, and execution strategies.
  
  

Requirements

• Education: Bachelor’s degree in Marketing, Business, Statistics, Computer Science, or a related quantitative field.
• Experience: 5–7 years of experience in Sales/Marketing Operations or Business Intelligence, preferably within a B2B SaaS environment.
• Technical Proficiency: Expert-level experience with Marketing Automation Platforms (HubSpot, Marketo, Pardot) and CRMs (Salesforce).
• Data Visualization: Proven ability to create impactful dashboards using tools like Tableau, Power BI, Looker, or Google Data Studio.
• Analytical Skills: Exceptional ability to translate complex data sets into clear, actionable insights for non-technical stakeholders.
• Advanced Tools: Advanced Excel skills are required; proficiency in SQL, R, or Python for advanced data extraction is a strong plus.
• Strategic Mindset: Deep understanding of funnel mechanics, lead management, and the tactical requirements of sales and marketing alignment.
  
  

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Business Analyst, Merchant Finance and Treasury

Adyen is looking for a Business Analyst to join the Merchant Finance and Treasury team in San Francisco. As Merchant Finance & Treasury we are the financial backbone of Adyen; optimizing and automating financial processes for scale, mitigating risks, and enabling growth through customer-centricity, operational excellence, innovation and integrity.

This is a varied, hands-on role in which you will execute, monitor, and reconcile high-volume daily payout processes to ensure timely and accurate disbursements to our Merchants. Your responsibilities will range from solving daily operational problems and optimising our financial processes, to ensure we scale for the future. 

What you’ll do

• Monitor our daily Payouts operation, managing exceptions, failures and rejects, working with external partners and internal teams to solve issues swiftly;
• Monitor and execute daily Cash-Management operations to ensure balances are available to cover the Payouts. 
• Improve internal daily processes, with a focus on payouts to merchants, to help scale our business;
• Provide internal stakeholders with insights into our key financial and operational processes to influence key decision making and help Adyen scale further;
• Use Data analysis to solve business problems; draw conclusions and recommendations for optimization and automation; 
• Partner with our technical and products teams to design,automate and improve our processes as well as having controls and monitoring in place; 
• Build relationships with both internal and external stakeholders to ensure effective management and communication of progress to all parties. 

Who you are

• 2-5 years work experience;
• Work experience in a high-volume payouts in accounts payable, treasury operations, acquirers or banking operations role is a plus;
• Excellent analytical skills and the ability to translate detailed requirements into business solutions;
• Knowledge about payments ecosystem (e.g. ACH) in the US is a plus;
• Experience with process improvement, optimisation and/or automation is a plus;
• Strong proficiency in Excel, as well as experience with data analysis and monitoring tools such as Looker and Grafana are a plus;
• Ability to interface and cooperate seamlessly with a global team;
• Exceptional attention to detail, a strong sense of ownership and quick to pick-up the phone to involve multiple teams;
• Ability to work independently, manage priorities, and meet strict daily deadlines.

Please note that this role is a full-time position in San Francisco. It will require a relocation in case you live outside of the city.

The annual base salary range for this role is $105,000.00 - $137,000.00; to learn more about our compensation philosophy, please click here.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next? 

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take between 3 or 4 weeks to complete. Don’t be afraid to let us know if you need more flexibility.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We're growing fast and hiring the talent to match.

As such, we’re hiring an Acquisition Lead to own and optimize our inbound growth engine across paid and organic channels, reporting to the VP of Growth Marketing & Strategy. You will lead a group of seasoned performance marketers and be accountable for pipeline, operational efficiency, and forecast accuracy.

Your mandate is simple:

• Build a scalable, AI-native acquisition engine that drives predictable, revenue-efficient pipeline growth.
• Allocate capital with precision, continuously optimizing for pipeline, CAC, and long-term return.

What you’ll do:

• Revenue & Performance Ownership

• Own inbound pipeline and multi-quarter growth forecasting, grounded in conversion, velocity, and revenue assumptions.
• Deliver performance predictability — proactively managing variance, efficiency, and capital allocation.

• Leadership & Standards
  • Lead and elevate senior performance marketers by setting uncompromising standards for rigor, accountability, and strategic clarity.
  • Design structured planning, experimentation, and review cadences that eliminate siloed optimization and drive portfolio-level thinking.
• Operational Discipline
  • Implement documented channel strategies, revenue-linked scorecards, and defined experimentation frameworks before scaling spend.
  • Ensure clean attribution alignment, executive-ready reporting, and decisions grounded in measurable business impact, not channel optics.
• Channel & Portfolio Mastery
  • Maintain deep fluency across Paid Search, Paid Social, SEO/GEO, and cross-channel budget modeling, with the ability to audit, diagnose, and reset strategy when needed.
  • Optimize at the portfolio level, balancing efficiency curves and incremental return across channels.
• AI as Competitive Advantage
  • Build AI-enabled workflows that materially improve velocity, insight generation, forecasting accuracy, and operator leverage.
  • Use AI to increase experimentation speed and performance efficiency, not as embedded infrastructure.

About you:

• 7+ years in B2B acquisition/performance marketing (SaaS preferred).
• 2+ years managing performance marketing teams.
• Demonstrated success scaling inbound pipeline with multi-million dollar budgets.
• Deep expertise across Google Ads, LinkedIn, paid social, and SEO.
• Demonstrated experience scaling pipeline efficiently (not just traffic).
• Strong analytical capabilities (Excel/Sheets proficiency required).
• Experience with BI/reporting tools (Tableau, Looker, etc.).
• Strong understanding of attribution models and funnel metrics.
• Clear track record of experimentation and iterative optimization.
• You’ve thrived in demanding environments with outsized impact and have experienced what great execution looks like at speed.
• AI Fluency (Required)

• Daily user of AI tools (ChatGPT, Claude, Perplexity, etc.).
• Experience applying AI to creative generation, data analysis, or workflow automation.
• Strong prompting skills and ability to QA AI outputs.
• Bias toward automation and operational leverage.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. 

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Scale's Finance Analytics and Data Science team is looking for an experienced data leader to manage a team of analysts and data engineers building internal tools and AI agents that automate workflows across finance and accounting.

In this role, you will lead a small team while staying technically hands-on, working closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.

You will guide your team in designing data models, prototyping internal tools, and implementing agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform, and emerging AI tools.

We're looking for someone who enjoys solving complex problems, building systems from the ground up, translating ambiguous business needs into scalable technical solutions, and developing the people around them.

Key Responsibilities

• Lead and grow a small team of analysts and engineers, providing technical mentorship, career development, and day-to-day guidance
  
  
• Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
  
  
• Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
  
  
• Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
  
  
• Collaborate with engineering teams in the development of internal tools to improve Scale’s financial system infrastructure
  
  
• Evangelize and support the adoption of AI-enabled automation across finance and accounting teams

Ideally, you have:

• 6+ years of experience in data analytics, analytics engineering, or data science role
  
  
• 1-3+ years of people management experience
  
  
• Expert knowledge of SQL and Python for data analysis and modeling
  
  
• Experience building internal tools, automation systems, or data products
  
  
• Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundational data models
  
  
• Experience partnering with engineering, and business stakeholders to automate manual workflows
  
  
• Strong problem-solving skills and the ability to operate independently in a fast-paced environment
  
  
• Excellent communication skills and experience working cross-functionally with business stakeholders
  
  
• Familiarity with finance or accounting terminology
  
  
• Experience with BI tools such as Tableau, Metabase, or Looker
  
  
• Familiarity with JavaScript and modern automation tooling is a plus but not required

About ROLLER

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

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

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

About the Role

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

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

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

What You'll Do

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

About You

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

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

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

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

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

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

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

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

Preferred Qualifications

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

Perks!

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

What You Can Expect

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

The Impact You'll Be Contributing to Moloco:

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

Responsibilities:

Customer Relationship Management

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

Product Knowledge and Optimization

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

Revenue Growth

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

Process and Product Improvement

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

Team Collaboration and Culture

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

Skills, experiences, and mindset that will help you succeed

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

More About the Role:

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

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

Why Join Our Program?

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

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

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

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

Key responsibilities include:

Partner Success & Collaboration

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

Product Knowledge & Campaign Management

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

Data Analysis & Growth Opportunities

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

Process & Team Support

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

Team Culture & Learning

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

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

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

Minimum Qualifications:

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

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs  succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do

We are looking for a Head of Growth & Performance Marketing who operates at a world-class level — someone who can drive measurable revenue growth through disciplined experimentation, deep analytical insights, and mastery of paid acquisition channels.

• Own Otter’s global performance marketing strategy, spanning paid social, paid search, display, retargeting, and emerging channels.
  
  
• Manage and optimize $XM+ annual performance marketing budget with clear ROI and CAC efficiency targets.
  
  
• Build, scale, and continuously iterate on acquisition funnels across Meta Ads, Google Ads, and additional paid platforms.
  
  
• Develop a quantitative experimentation roadmap (A/B tests, landing page optimization, ad creative, audience segmentation).
  
  
• Partner with Product, Growth, Brand, and Sales to ensure full-funnel alignment and cross-functional acceleration.
  
  
• Own forecasting, spend pacing, weekly/monthly reporting, and insights for senior leadership.
  
  
• Drive attribution improvements using tools like GA4, Mixpanel, Looker, or Snowflake.
  
  
• Evaluate new channels, automation tools, and AI-powered optimization solutions to increase scale and lower CAC.
  
  
• Be a strategic thought partner to Otter’s leadership on overall growth strategy, channel mix, and long-term customer acquisition models.
  
  

What we’re looking for

• 10+ years in performance or growth marketing with direct ownership of a $M+ annual ad spend.
• Operator experience in a $50M+ ARR environment (SaaS, marketplace, high-growth startup, consumer goods or multi-market consumer tech).
• Deep expertise in Meta Ads and Google Ads, with a track record of scaling CAC-positive programs.
• Strong mathematical and analytical capability — comfortable in SQL, Excel, Looker, and funnel analytics.
• Proven ability to design full-funnel strategies and systematically improve every conversion point.
• Demonstrated ability to work in a high-growth, high-ambiguity environment with fast iteration cycles.
• Exceptional communication skills, with the ability to influence and present to senior stakeholders.

Why join us 

• Real impact: You will directly own one of the largest levers for Otter’s growth.
• Fast moving environment where great operators thrive.
• Opportunity to shape the future of restaurant technology.
• High ownership role with direct visibility to senior leadership across Otter and CSS.

What else you need to know

This role is based in our San Francisco office location. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at Otter.

The base salary range for this role is $182,000 - $214,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave

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

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

#LI-Onsite

The Global Data & Insights Team

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

The Senior Analytics Engineer, Marketing Opportunity

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

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

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

What you’ll be doing

Data Modeling & Semantics

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

AI-Ready Data & Snowflake Ecosystem

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

Data Quality, Governance & Trust

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

Collaboration & Delivery

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

AI and Data Mindset

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

What you’ll bring to the role

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

What you can look forward to as an Okta employee!

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

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

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

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

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

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

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

Discord is looking for an experienced and passionate Senior Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

We're hiring for multiple verticals on our Data Engineering team, including Engagement and Performance.

What you will be doing:

• Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
• Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
• Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets
• Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
• Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization

What you should have

• 4+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 4+ years of experience writing accurate and effective code in SQL
• Experience with designing data model to power a variety of use cases, including experimentation
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
• Excellent communication, comfortable being the connective tissue between technical and business teams
• Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
• Experience defining and governing metric standards across a data organization
• Experience working on analytics for core features (i.e. messaging, video/voice call etc) in communication app.
• Experience working on analytics for performance and reliability of communication app
• Background in analytics for core communication features (messaging, video/voice) or platform reliability and performance.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + 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 equity, or benefits.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams including revenue and performance. If you’re passionate about data, impact, and working on an amazing team, read on!

What you'll be doing

• Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
• Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
• Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
• Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation

What you should have

• 3+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
• 3+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
• 2+ years experience writing excellent SQL
• Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
• 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points

• Passion for Discord or online communities
• Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.
• Experience in the user engagement and growth problems
• Experience writing performant code in BigQuery SQL
• Experience with writing production ETL
• Experience leveraging AI for data science

The US base salary range for this full-time position is $160,000 to $180,000 + equity + 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 equity, or benefits.

We’re looking for a Manager to own strategy and operations for Discord’s Consumer Revenue business, with a primary focus on Nitro partnerships. You’ll sit at the intersection of Business Development, Product, and Finance, ensuring our partnership deals are structured, modeled, and operationalized effectively as our B2B motion scales. This is a high-impact role that touches deal strategy, financial modeling, pricing, analytics, and cross-functional operations.

What You'll Be Doing

• Serve as the strategic connective tissue between Business Development and Product on Nitro partnerships, ensuring alignment on deal priorities, product capabilities, and go-to-market strategy
• Provide analytical support to Consumer Revenue leadership by building reporting, surfacing insights on partnership performance, and delivering data-driven recommendations that inform business decisions
• Partner with Finance on financial modeling for Nitro partnership deals, building and maintaining models that inform deal structure, revenue projections, and partnership economics.
• Stand up and run the Consumer Revenue deal desk, defining red lines on term sheets, establishing approval frameworks, and creating clear guardrails on what we will and won’t allow in partnership agreements
• Lead pricing strategy and analysis for Nitro, managing the semi-annual pricing cycle and building the analytical foundation to support pricing decisions
• Develop and maintain dashboards and ad hoc analyses that give Business Development and Product teams visibility into partner revenue trends, deal pipeline health, and key performance metrics
• Manage operational workflows across Accounting, Legal, and other cross-functional partners to ensure deals move from signed term sheet to revenue recognition smoothly
• Document and codify deal policies, pricing frameworks, and operational processes as the function matures

What you should have

• 4 to 6 years of experience in strategy and operations, deal operations, revenue operations, or strategic finance
• Strong financial modeling skills with the ability to build deal models, scenario analysis, and partnership economics from scratch
• Proven ability to turn ambiguous business questions into structured analyses and clear recommendations
• Experience standing up or managing a deal desk function, including defining deal terms, approval workflows, and pricing guardrails
• Ability to operate across multiple stakeholders (Business Development, Product, Marketing, Engineering, Legal, Finance, and Accounting) and drive alignment without direct authority
• Sharp analytical skills with proficiency with SQL, python, BI Tools, and Excel/Sheets.
• Proficient with AI tools such as Claude, Claude Code, Cursor, etc
• Strong written and verbal communication. You’ll be synthesizing complex deal structures and analytical findings into clear narratives.
• Comfort with ambiguity and building process where none exists today

Nice to have

• Experience in subscription or consumer revenue businesses, or partnership-heavy models
• Background in gaming, social platforms, or digital media
• Familiarity with revenue recognition principles and working with Accounting teams on deal operationalization
• Experience with BI tools such as Tableau, Looker, or similar, and building self-serve reporting for business teams

The US base salary range for this full-time position is $192,000 to $216,000 + equity + 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 equity, or benefits.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Senior Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams. If you’re passionate about data, impact, and working on an amazing team, read on!

What you'll be doing

• Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
• Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
• Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
• Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation

What you should have

• 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
• 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
• 4+ years experience writing excellent SQL
• Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
• 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points

• Passion for Discord or online communities
• Experience with technical leadership, being the point person for one or more stakeholder groups
• Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.
• Experience in the user engagement and growth problems
• Experience writing performant code in BigQuery SQL
• Experience with writing production ETL

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + 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 equity, or benefits.

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

We're hiring for multiple verticals on our Data Engineering team, including Growth and Safety.

What you will be doing:

• Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.
• Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.
• Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

What you should have

• 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources to power a variety of use cases, including experimentation
• 2+ years of experience writing accurate and effective SQL
• Fluency in Python or another programming language
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous questions into concrete metric definitions and data models
• Excellent communication, comfortable being the connective tissue between technical and business teams
• Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools (dbt, BigQuery etc)
• Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows)
• Experience working on SEO, GEO, or other top of funnel growth focused features.
• Experience collaborating with compliance, legal, or litigation cross-functional teams.

The US base salary range for this full-time position is $160,000 to $180,000 + equity + 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 equity, or 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

About the Role

As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers.

Your primary responsibilities will include handling customer escalations through our ticketing system, using internal observability tools to diagnose and scope customer-facing issues, collaborating directly with customers via Slack and other channels, and developing internal tools and documentation to improve the support experience. Since we view every support escalation as an opportunity to learn, both as individuals and as a company, you will play a critical role in providing feedback to our product team on common challenges and influencing our product roadmap.

What You'll Do

• Provide technical guidance to customers’ developers on best practices for integrating with our APIs and utilizing our functionality.
• Troubleshoot any issues that arise from customers and diagnose any blockers. Escalate issues with customer context to the engineering team.
• Develop internal tools to automate customer workflows that are currently unavailable in our product. Provide feedback on recurring patterns and advocate for addressing feature gaps in the product.
• Design and assist in implementing a comprehensive knowledge base to assist customers with using our product.

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

Compensation

The estimated base salary range for this role is $137,000 - $205,600. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.

The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.

We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Role:

We're looking for a Senior Sales Compensation Analyst to join our Revenue Operations team. As a senior individual contributor, you will serve as a hands-on operator, subject matter expert, and strategic partner to our sales organization — owning end-to-end compensation administration while independently shaping the compensation programs and operational frameworks that drive Gusto's growth.

This is a high-visibility role at the intersection of Sales, Finance, and Revenue Operations. You'll bring deep expertise in sales compensation administration, advanced analytical capabilities, and a track record of building scalable programs that are fair, accurate, and motivating. You'll operate with a high degree of autonomy alongside the Head of Sales Compensation — driving plan administration, contributing to plan design for assigned segments, and setting the operational and analytical standard for the team. You'll leverage AI tools to push the boundaries of what our team can deliver.

About the Team:

The Sales Compensation team at Gusto sits within the Revenue Operations organization and serves as the backbone of how Gusto's sales force is motivated, rewarded, and aligned to company growth. We are a small, high-impact team with outsized visibility — our work touches every quota-carrying role across the company and directly influences how Gusto attracts, retains, and drives performance from top sales talent.

Here’s what you’ll do day-to-day:

• Own sales compensation administration for assigned teams — execute accurate, on-time commission calculations, payment processing, crediting, draws, clawbacks, and dispute resolution each pay cycle; Serve as the team's Xactly platform owner and subject matter expert, defining configuration standards, driving platform decisions, and maintaining data integrity across plan setup, participant management, and workflow automation 
• Own monthly reporting & analytics for assigned segments — deliver attainment summaries and payout forecasts to Sales, Finance/Accounting, and Rev Ops; maintain KPI dashboards and perform ad hoc analysis on performance trends and budget adherence.
• Contribute to plan design for assigned segments — Support and, where designated, independently own compensation plan inputs for assigned sales segments, including rate validation, accelerator analysis, and rules of engagement; build financial models and scenario analyses that inform quota-setting and plan design decisions; connect compensation mechanics to broader outcomes across Finance, HR, and Sales Strategy
• Define and improve processes and compliance — document and continuously improve comp processes; maintain adherence to internal compliance standards and accounting rules; ensure role changes, new hires, and terminations are reflected accurately across Xactly and downstream systems
• Lead assigned cross-functional initiatives - Drive projects spanning Sales, Finance, HR, and Rev Ops; use data and structured analysis to influence stakeholders and build alignment across functions
• Leverage AI to elevate comp operations — actively incorporate AI tools to automate repetitive tasks, accelerate reporting, and surface insights; partner with the Head of Sales Compensation to identify and scale AI-driven improvements across the team 

Here’s what we're looking for:

• 8+ years of hands-on sales compensation administration experience with demonstrated end-to-end ownership of commission processes in a high-growth environment 
• Experience in full-cycle comp administration — calculations, crediting, draws, clawbacks, and dispute resolution. 
• Xactly platform expertise - intermediate-to-advanced admin required (certification preferred); proven ability to own system configuration, data integrity, and workflow design; Salesforce and Tableau/Looker/Power BI proficiency; other ICM platforms a plus
• Advanced analytical skills - compensation modeling, scenario analysis, and reporting; solid understanding of quota-setting methodologies, GTM motions, and sales roles (AE, AM, SDR, overlay) 
• Cross-functional influence — track record of leading initiatives and driving alignment across Sales, Finance, HR, and Operations without direct authority  
• AI competency — actively uses AI tools to automate tasks, accelerate analysis, and improve accuracy with a habit of exploring and applying new tools practically 
• Attributes — detail-oriented, proactive, and highly organized; clear communicator who can simplify complex comp mechanics for reps, managers, and cross-functional partners
• Bachelor's degree in Finance, Business, Mathematics, or related field — or equivalent experience

Our cash compensation amount for this role is $113,880 to $139,500 for Denver, Atlanta & Las Vegas. $138,365 to $169,500 for San Francisco & New York. $106,940 to $131,000 for Phoenix. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

The Opportunity:

Grow Therapy is seeking a Staff Data Analyst to drive data-informed decision-making across our Match Success product group. In this role, you will lead analytical initiatives that help us understand how patients and therapists connect and begin their journey together, and shape the product experiences that make therapy accessible and effective. You will partner closely with Product and cross-functional stakeholders to set the analytical agenda, own business-critical reporting, use data to improve products, and run rigorous experiments, while helping raise the bar for how data is used across the team.

What You’ll Be Doing:

• Partner with Product and other technical stakeholders to prioritize analytical needs and support product launches, decision-making, and ad hoc requests through clear, data-driven insights.
• Own analytical strategy and define the metrics, reporting frameworks, and experimentation roadmap that guide product direction and OKR development for the team
• Design, maintain, and scale business-critical dashboards and datasets that give stakeholders reliable, self-serve access to the metrics that matter.
• Lead experimentation end-to-end, from thoughtful test design through execution, analysis, and clear, actionable recommendations that drive product decisions.
• Craft compelling data narratives and visualizations that translate complex findings into crisp takeaways for product, leadership, and executive audiences.
• Collaborate with data scientists and data engineers to improve logging, pipeline reliability, data availability, and modeling foundations (including dbt).
• Partner with other analysts, contribute to shared tooling and frameworks, and help set standards for analytical rigor across the team.

You’ll Be a Good Fit If: 

• You have 7+ years of experience applying analytics to complex, cross-functional business problems in a high-growth, product-focused environment.
• You are a self-directed owner who proactively identifies high-impact opportunities, navigates ambiguity well, and drives work forward without waiting to be asked.
• You are deeply fluent in SQL and have strong working knowledge of experimental design, including A/B testing methodology and statistical interpretation.
• You have a proven track record building business-critical dashboards and data visualizations, ideally in Hex, Looker, or similar platforms.
• You have experience with data modeling (dbt) or a strong track record of quickly picking up new technical tools and frameworks.
• You are a skilled data storyteller who knows how to extract insight from complexity and communicate it clearly to both technical and executive audiences.
• You build strong relationships across functions, comfortable partnering with engineers, PMs, and executives, and you know how to earn trust through rigor and clear communication.
• You care deeply about expanding access to mental health care and are motivated by work that has a direct impact on patient and provider outcomes.`
• Experience with advanced analytics techniques such as python, ML models, LLM, etc., is a plus.

Role Details:

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

This role is hybrid (onsite from our San Francisco hub location three days per week: Tuesday, Wednesday, Thursday) This include travel 2–3 times per year (e.g., company and department offsites).

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

The Opportunity:

We are looking for a Data Analyst to help us drive data-driven insights and reporting in Product at Grow Therapy, and who will work on a variety of reporting, analytics and experimentation projects. You’ll join a broader data organization of analysts, data scientists, and data engineers, and be part of a San Francisco–based analytics team reporting into an Analytics Manager. This role will support our Lives Covered product group. 

What You’ll Be Doing:

• Partner with Product and other technical stakeholders to prioritize analytical needs and support product launches, decision-making, and ad hoc requests through clear, data-driven insights
• Develop, maintain, and evolve core product and performance reporting, including business-critical dashboards built on scalable, reliable datasets
• Support experimentation and A/B testing through thoughtful design, execution, analysis, and clear, actionable conclusions
• Create compelling data visualizations and storytelling assets to effectively communicate insights to diverse audiences
• Collaborate with senior and staff analysts on complex, high-impact analytical projects, including data modeling and OKR development
• Work closely with data scientists and data engineers to improve data availability, integrity, accuracy, reliability, and logging/pipeline quality

You’ll Be a Good Fit If: 

• You have 3+ years proven experience in using analytics to tackle business problems that cross multiple product/project areas and teams, ideally in a high-growth, fast-paced environment.
• You have strong SQL skills and intermediate understanding of experimental design (such as A/B experiments).
• You are a wizard at building business critical dashboards/data visualizations (ideally within Hex or Looker, with strong LookML expertise)
• You have experience with data modeling (dbt) or are eager to learn
• You love data storytelling, creating a compelling narrative by extracting insights from data, and summarizing learnings / takeaways for executives.
• You enjoy communicating effectively and building relationships with both technical and non-technical stakeholders.
• You deeply value the importance of expanding access to mental health care.
  
  

Employment Type: Full Time, Exempt 
Base Compensation: The base compensation range for this position is $124,000–$145,800 USD Annually.

This is a hybrid role with the expectation to work onsite from our San Francisco hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).

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

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

About the Team: 

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

About the Role

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

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

What You’ll Work On:

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

You Should Have:

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

Nice to Have: 

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

Compensation & Benefits: 

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

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

PagerDuty is seeking an Account Manager to join our diverse, customer-focused team! As an Account Manager, you will serve as the primary point of contact for a portfolio of existing SaaS customers, partnering closely with cross-functional teams to deliver exceptional customer outcomes. You will maintain and grow customer relationships, drive product adoption, manage renewals, and identify strategic expansion opportunities that deliver measurable business value. This is an exciting opportunity to blend customer success and sales expertise to help customers realize the full potential of PagerDuty’s platform while driving revenue growth.

The ideal candidate is a proactive relationship builder with strong commercial acumen, a passion for data-driven customer management, and experience with SaaS products and AI-driven insights.

KEY RESPONSIBILITIES

• Own a portfolio of existing customers to ensure adoption, value realization, and retention.
• Develop and execute account plans that drive renewals, mitigate churn risk, and uncover expansion opportunities.
• Present and negotiate renewal proposals, structure multi-year options, and manage contract value through strategic account management.
• Monitor customer health using usage analytics, telemetry, and business insights to identify and address risks early.
• Collaborate cross-functionally with Legal, Sales Operations, and Renewals teams to ensure smooth contracting, forecasting, and reporting processes.
• Maintain strong product knowledge and deliver consultative guidance to drive configuration optimization and feature adoption.

BASIC QUALIFICATIONS

• 7+ years of combined customer-facing experience, including Account Management, Customer Success, or Renewals.
• 4+ years of proven success managing renewals and growth within a SaaS environment.
• Experience using Salesforce (SFDC) and analytics tools such as Gainsight, Tableau, or Looker.
• Bachelor’s degree or equivalent experience.

PREFERRED QUALIFICATIONS

• Demonstrated ability to leverage data analytics and health metrics to manage and retain customer accounts.
• Familiarity with the MEDDPICC and Command of the Message (COM) frameworks.
• Experience working with enterprise software customers or in a DevOps environment.
• Strong understanding of AI-powered tools and how they can be leveraged to drive efficiency and insight.
• Proven history of achieving revenue and retention goals through consultative account management.
• Self-starter with strong collaboration, negotiation, and problem-solving skills.

The base salary range for this position is $105,000.00 - $125,400.00 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

The Role:  

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

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

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

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

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

Responsibilities:   

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

Qualifications:   

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

Preferred Qualifications:  

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

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

What You’ll Do:

CoreWeave is seeking an exceptional Global Vice President of Revenue Operations to serve as the strategic architect and operational leader of our revenue engine. This senior executive will be a key member of the CoreWeave leadership team, reporting directly to the Chief Revenue Officer, and will be responsible for building, scaling, and optimizing all revenue operations functions that drive predictable,efficient, and accelerated growth across our global go-to-market organization.

This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave. The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack—from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

About the role:

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision

• Define and execute CoreWeave's global revenue operations strategy, establishing
• World-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth
• Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting—creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization
• Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution
• Leverage AI to fundamentally build a next-gen RevOps center of excellence
• Lead ongoing integrations of acquisitions made by the company
• Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies
• Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth
• Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives
• Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline
• Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement
• Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling
• Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high- performance culture of operational excellence and strategic partnership with the go-to-market organization
• Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments

Who You Are: 

• Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions
• Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue
• Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale
• Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability
• Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines
• Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations
• Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones
• Experience supporting enterprise sales organizations with complex buying processes, multi-stakeholder engagements, and long sales cycles, ideally in infrastructure, cloud, or enterprise software markets
• Proven ability to partner effectively with C-level executives, sales leadership, finance, legal, and product teams to drive cross-functional alignment and business outcomes
• Experience navigating the operational complexities of publicly traded companies, including SOX compliance, revenue recognition requirements, and public company reporting

• MBA or advanced degree in relevant field (Business, Engineering, Data Science) preferred
• Expert-level proficiency with Salesforce (including advanced configuration, automation, and reporting), with Salesforce Administrator or Advanced Administrator certification highly valued
• Strong technical fluency with revenue operations technology stack including sales engagement platforms (Outreach, Salesloft), revenue intelligence tools (Clari, Gong), CPQ systems, and data visualization tools (Tableau, Looker)
• Advanced analytical and quantitative skills with experience using SQL, Python, or R for data analysis and building sophisticated revenue models and forecasts
• Deep understanding of enterprise sales methodologies (MEDDIC, MEDDPICC, Challenger), sales cycle optimization, and best practices for complex B2B sales environments
• Experience with cloud infrastructure or AI/ML markets strongly preferred, with understanding of consumption-based business models, usage-based pricing, and technical buying processes
• Exceptional executive presence with ability to present complex analyses and recommendations to board members, investors, and C-suite executives with clarity and confidence
• Proven change management capabilities with experience leading large-scale operational transformations, process redesigns, and technology implementations in dynamic environments
• Strategic mindset balanced with operational excellence and hands-on execution capabilities—able to define vision while rolling up sleeves to drive implementation
• Track record of thought leadership in revenue operations through speaking engagements, published content, or active participation in RevOps communities and professional networks

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $300,000 to $385,000.The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do: 

We are seeking a Data Center Portfolio Capacity Manager to own portfolio-level capacity planning, forecasting, and reporting across a rapidly growing data center footprint. This role sits at the intersection of data center development, site selection, finance, and compute capacity, and serves as the single source of truth for infrastructure capacity timing.

About the Role: 

You will partner closely with Development and Site Selection teams to track delivery milestones, forecast phased capacity availability, and communicate changes in timelines across the organization. Your work will directly inform capital planning, compute deployment decisions, and executive-level reporting.

This role reports to the Director of Portfolio Operations and operates in a highly cross-functional, fast-scaling environment.

In this role, you will: 

• Own portfolio-level capacity planning and forecasting for all active and pipeline data center sites
• Maintain the master capacity timeline, including go-live dates, phased capacity delivery, and readiness milestones
• Track and communicate changes to delivery schedules, capacity timing, and risk across the portfolio
• Partner with Development and Site Selection teams to align site-level progress with portfolio forecasts
• Serve as the authoritative source for capacity availability updates used by Compute Capacity, Finance, Accounting, and Legal teams
• Build and maintain capacity models, dashboards, and reporting packages for leadership and executive stakeholders
• Standardize and catalog site attributes including location, provider, power and cooling characteristics, and delivery phases
• Support Finance and Accounting teams with CapEx planning, budget alignment, and variance analysis
• Translate complex infrastructure data into clear, actionable insights for senior leadership

Who You Are:

• 5+ years experience working in data center, hyperscale infrastructure, colocation, or large-scale cloud environments
• Strong background in capacity planning, forecasting, portfolio planning, or infrastructure operations
• Advanced proficiency in Excel and/or Google Sheets, including complex models and scenario analysis
• Experience building executive-ready reporting and dashboards using tools such as Tableau (or similar BI tools)
• Ability to manage ambiguity and evolving timelines in a fast-growth environment
• Proven ability to work cross-functionally with technical and non-technical stakeholders
• Comfortable presenting data-driven insights to senior and executive audiences
  

Preferred:

• Experience supporting data center development lifecycles (site selection, design, build, and go-live)
• Familiarity with data center capacity concepts (MW, power density, cooling types, phased delivery)
• Experience with additional analytics or planning tools (e.g., Power BI, Looker, Smartsheet, SQL)
• Background in capital planning or infrastructure investment analysis
  
  

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $115,000 to  $153,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product. Product managers at Lyft lead the integration of engineering, data science, and design to achieve the company’s vision of serving and connecting. We are looking for entrepreneurial and passionate product managers to innovate and execute across a rapidly growing, fast paced company and industry.

The Central Market Management and Applied Intelligence org is responsible for making Lyft’s most critical data driven decisions and the underlying AI/ML platforms that power hundreds of applications across the company. You will be the key product manager focused on the Agentic AI product and platform, and you will continuously evaluate opportunities and prospective use cases across the company to accelerate decision-making, and evangelize adoption of the team’s offerings. 

You will work directly with senior leaders and expert engineers and scientists guiding them on the right frameworks for the evaluation of technology bets, grounding them in the needs of the business and product teams at Lyft, and building prototypes to inspire them in feature exploration. The perfect person for this job will have deep technical expertise, thrives in environments of intellectual confrontation and loves keeping up to date with the industry. You will aim to become a trusted expert throughout the company on anything AI related. 

Responsibilities:

• Define, own and execute the roadmap of the AI platform and AI-powered marketplace products
• Define, track and periodically report on metrics and KPIs of the org, both to align the org and to showcase the achievements & the misses to leadership 
• Engage teams and users of AI platform inside the company to understand their needs, evangelize current offerings and identify gaps or opportunities in the available tools
• Write detailed product requirements, strategy and planning documents aimed at both technical and non technical audiences to drive alignment on product development, set expectations on delivery of milestones and create predictable outcomes for workstreams
• Proactively engage, research and craft proposals for areas of the company where AI platform can drive efficiency and/or increase effectiveness
• Present to non technical leadership on the progress of the team quarterly, showcasing concrete steps forward in the results driven by the tools of the team and adoption of them throughout the company
• Oversee and guide build vs buy decisions, grounding them in data and research

Experience:

• 7+ years of product management experience
• Experience driving technically complex products end to end, from inception, to launch with significant user adoption, to sunset
• Experience in managing (from product perspective) a team of software engineers and scientists, tracking the progress towards a roadmap through appropriate tools (Jira, Linear, Spreadsheets, Clickup etc)
• Experience in crafting data visualizations for the automated measurements of KPIs and metrics, starting from raw databases (SQL, Tableau, Looker, Mode, Python visualization packages etc)
• Familiarity with crafting and leading presentations to small groups at the CXO executives level and to big teams (100+ ppl) at an all hands like level in medium to large companies
• Ease in driving results and operating independently and with little supervision in flat structured organizations where approvals are not needed but results are closely monitored
• Strong understanding of agentic systems, context engineering, and multi-agent orchestration
• Strong conceptual knowledge of machine learning and AI; hands-on coding experience with standard libraries (e.g., PyTorch, Keras, Scikit-learn, XGBoost) is a plus
• Experience in handling third parties as vendors or customers and knowledge of Saas contract practices and software sales processes
• Excellent skills in documenting and articulating complex technical systems.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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

Who You Are

Required:

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

Nice to Have:

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

What You'll Do

AI & Agentic Automation

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

Comp Operations

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

Forecasting & Pipeline Analytics

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

Plan Design & Methodology

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

What Success Looks Like

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

For CA-based applicants:

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

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

This position is eligible for Instawork benefits, including:

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

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

About the role

As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives across emerging and developing verticals while supporting critical global strategic initiatives.

This includes segment analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.

We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.

Responsibilities:

Strategic Analysis, Operations & Planning

• Partner with Global and AMER Enterprise segment leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives

• Support development of targeted strategies across different customer segments and verticals based on their unique characteristics, product-market fit trajectories, and needs

• Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives

• Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive

Data-Driven Decision Support

• Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale

• Leverage Claude to its full capability

• Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"

• Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities

• Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency

Go-to-Market Execution

• Develop and maintain use case frameworks to capture and standardize how customers derive value

• Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies

• Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions

Executive Stakeholder Management

• Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure

• Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives

• Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it

• Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities

Cross-Functional Collaboration

• Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business

• Support coordination between AMER Enterprise sales segments and partnership teams

• Help prepare materials for executive reviews and planning sessions

You may be a good fit if you have:

Must-Haves

• Deep alignment to Anthropic’s mission

• 5+ years of experience in sales strategy, revenue operations, management consulting, or GTM operations

• Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others

• Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you

• Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives

• Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)

• Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.

• An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.

• A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team

• A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.

• Track record of driving forward high-growth sales organizations

• Disciplined project management and exceptional communication and interpersonal abilities

• A desire and readiness to do the best work of your career

• Bachelor's degree required; MBA or advanced degree preferred

Preferred

• Direct experience in a commercial role (pre-sales, customer-facing, partnerships, founder, etc.)

• Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building

• Experience with AI/ML companies and consumption business models

• Prior experience building frameworks for sales use cases or value propositions

• Background in scaling sales organizations through 2-3x+ growth periods

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

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

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

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

What You’ll Be Doing:

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

What We’ll Expect From You:

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

Nice to have:

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

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $199,680 - $249,600

*This is a remote role

#LI-Remote

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

You’ll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow’s dashboards.

What you’ll do

Spin up lightweight client libraries, demo apps, or event microsites in a few hours.

Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.

Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).

Our content consistently drives qualified sign-ups and sparks industry conversations.

Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it—and ship fast.”

Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap—and we mostly just say “Yes.”

You might be a fit if you

• Ship code at the speed of thought. Fluent in Python and JavaScript (Next.js, React) and can stitch APIs, CLIs, and scrapers together before lunch.

• Live in the metrics. SQL, Amplitude/Looker, or plain-text CSVs—whatever gets you to the insight fastest.

• Write to persuade. Your copy earns clicks because it’s human, helpful, and opinionated.

• Love people as much as code. You’re energized by demos, DMs, and IRL events.

• Crave ownership. Ambiguous problems and blank pages don’t scare you; they excite you.

• Geek out on generative media. You follow the latest diffusion paper for fun and have strong opinions on video model architectures.

Nice-to-haves

• Prior experience in PLG or developer-tool startups

• Familiarity with growth analytics stacks

• A portfolio of technical writing, open-source libs, or side projects

Compensation:

• $170,000 - $220,000 + equity + comprehensive benefits package

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

About the role

Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. 

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field. 

Nice-to-haves

• Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
• Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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.