About the job

We are looking for a seasoned Strategy & Planning professional to help us lead the Customer Success Strategy & Planning function worldwide. You will be responsible for learning the ins and outs of each major MongoDB Sales and Customer Success Business, play a critical role in building relationships with the senior leadership team, developing the team, and drive forward initiatives that will help us unlock sales revenue. The ideal candidate understands what makes a team thrive, has a strong interest in data analysis to tell stories, and thrives in shaping narratives that are conducive to helping our Sales team grow.

Our Strategy and Planning team, part of our broader Sales Operations team, strives to help our field organizations go faster and grow faster. This function acts as business partners to our Senior Leaders. You have an opportunity to embed yourself as the “COO” of the Customer Success business, and your responsibilities will range across a variety of strategic initiatives including analyzing inefficient business rules, piloting new roles / engagement mechanisms, optimizing for obstacles in the sales / csm partnership process, and analyzing sales data to come up with meaningful business insights.

The Opportunity

As the Senior Manager of Strategy and Planning, you will:

• Help drive the analytical rhythm of our business including quarterly business reviews, org deep dives
• Partner with Senior leadership to drive customer, market  and segment specific analyses to uncover insight
• Become an expert in business and CS rules 
• Conceptualize and pilot new programs to test the effectiveness of various roles / comp plans / engagement mechanisms
• Lead the quarterly and annual business planning for the CS teams
• Collaborate with various business units to drive productivity and headcount scenario analyses

The Ideal Candidate

• Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
• 5+ years of work experience in either Sales Strategy / Consulting / Sales Operations / Analytics
• You have experience supervising direct reports
• Effective communicator who can break down convoluted technical concepts into simple business vernacular
• Strong SQL knowledge with an ability to write SQL queries to extract data needed for analysis is preferred but not required
• You are a spreadsheet wizard with the ability to manipulate and analyze data
• Experience with at least one major business intelligence tool (Tableau,Google Data Studio,Looker)
• You can navigate your way around Salesforce.com with relative ease

About MongoDB

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

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

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

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

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

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

Req ID: 1273355192

ABOUT THE TEAM

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

ABOUT THE JOB

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

Preferred Qualifications:

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

About the Role

Orchard is looking for a Growth Marketing Manager to manage our paid digital channels. In this role, you will manage a 7-figure marketing budget, spread across existing and new channels. Our digital channels have been a critical component of our customer acquisition to date and we’re looking for a performance-driven candidate to drive increased growth and efficiency.

The right candidate is highly analytical with a bias for action. You will work day to day running campaigns on Paid Search and Social, digging into the data to understand the “why” behind performance, and launching ad and product tests to improve upon it. You’ll also get to flex your creative muscles by owning landing page testing and working closely with our internal creative team, freelancers, and AI enabled tools to design and test new ad formats. This role is a unique opportunity for an experienced digital marketer to scale their impact or for an agency manager to gain experience on the client side.

This is a full-time role that will report into the Director, Growth Marketing. The ideal candidate will be based in New York, NY and able to work from our office two days a week.  However, we are able to hire this role remotely in the following states as well: AZ, CA, CO, CT, DC, FL, GA, MA, NC, NJ, OR, PA, SC, TN, TX, VA, WA.

What You’ll Do Here:

• Manage a 7-figure marketing budget, setting and managing to ambitious KPIs across Paid Search, Paid Social, and other new channels
• Create a testing strategy that encompasses testing within existing channels and identifying and executing tests in new channels
• Work with our no-code web development tooling and product teams to test new landing page experiences, segmentation, and targeting tactics
• Collaborate with internal creative team to launch customer-centric creative tests across a variety of formats (ex: static, video, testimonials)
• Maintain and share weekly reporting dashboards, ensuring you’re digging into the “why” behind campaign performance
• Build a deep understanding of our customer funnel, ensuring your channels are driving high-quality leads

We’d Love to Hear From You if You Have:

• 2+ years of experience driving growth within a B2C performance marketing function
• Background in digital marketing with emphasis on Meta and Google, other digital channels a plus
• Aptitude for rigorous experimentation, relentlessly seeking ways to improve campaign efficiency and profitability
• Deep experience with data analytics and visualization platforms such as Tableau, Google Analytics, or Looker
• Experience with high consideration/LTV products
• Strong written and verbal communication skills and can synthesize learnings to share with stakeholders and executive leadership
• Amazing attention to detail
• Team player attitude and comfort working in a fast-paced environment

The pay range for this position in New York City is $110,000-$130,000/year. The actual base pay offered may vary within the range provided depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.

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

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

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

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

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: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are seeking a Senior Salesforce Administrator to join our Enterprise Applications team. This is not a ticket-resolution role — it is a strategic position for someone who partners deeply with Sales, Marketing, Finance, and Operations to understand business problems and architect technology solutions that solve them at scale. 

You will own the design and evolution of our sales and operations technology ecosystem, including Salesforce and adjacent platforms, and will be expected to lead with an AI-first mindset – identifying where AI agents, automation, and intelligent tooling can replace manual effort, accelerate decisions, and amplify team output. If you love sitting with a stakeholder, understanding their pain, and then going away to build something that genuinely changes how they work, this role is for you.

What You'll Do 

Strategic Partnership & Problem Discovery 

• Translate ambiguous business challenges into clear requirements, user stories, and scalable system designs
• Lead working sessions, process discovery workshops, and solution design reviews with cross-functional stakeholders
• Partner with EA Business Analysts on solution delivery — BA owns stakeholder discovery, process design, and requirements intake; this role owns system architecture, configuration, and build. Coordinate with RevOps on GTM process ownership, translating their operational requirements and reporting needs into Salesforce and adjacent platform solutions without duplicating RevOps' analytical and process governance responsibilities

AI-First Solution Design 

• Architect and deploy AI-powered workflows and agents across the revenue tech stack – from lead qualification and forecasting assistance to automated insights and CRM data enrichment
• Identify high-ROI opportunities for AI and automation to reduce manual work, improve data quality, and accelerate revenue cycles; own CI/CD pipeline standards and deployment practices (Gearset) to ensure reliable, auditable releases across all Salesforce environments
• Stay current on the evolving AI tooling landscape (LLMs, agents, copilots, etc.) and evaluate applicability to Bevi's GTM operations
• Build, test, and iterate on AI-augmented processes with a feedback loop tied to measurable business outcomes

Salesforce & Platform Architecture 

• Design, build, and maintain Salesforce solutions
• Manage and optimize integrations across the full tech stack – including Salesforce, Zendesk, NetSuite, Oracle Field Service, and other platforms
• Own user, role, and permission management across all Sales and Operations applications
• Lead upgrade, release, and bundle management for Salesforce install packages and connected tools

Data, Reporting & Business Intelligence 

• Design and maintain custom reports and dashboards for business users
• Contribute to data models and dashboard design in Looker
• Apply strong SQL and relational data expertise to support reporting schemas, data transformations, and analytics initiatives
• Ensure data integrity across systems as the authoritative voice on Sales & Marketing data structure and quality

What We're Looking For 

• Certified Salesforce Administrator with hands-on experience building flows, Apex, integrations, and complex automations
• Demonstrated experience with multi-platform CRM and operations ecosystems – Salesforce plus at least one of: NetSuite, HubSpot, Zendesk, or similar enterprise platforms
• Strong SQL and relational data fundamentals – you can write a query, trace a data problem back to its source, and design a reporting schema
• Proven track record of working with business stakeholders to define problems and ship solutions – not just respond to requests
• Experience implementing AI tools, automation workflows, or intelligent agents in a business operations context
• A builder's mindset: you default to "how do I create a system that eliminates this problem" rather than "how do I resolve this ticket"
• Strong analytical thinking and the ability to hold both the detail and the big picture simultaneously
• Ability to navigate and influence a diverse set of stakeholders in a fast-moving startup environment

#LI-CD1

#LI-HYBRID

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.

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

Revenue Accountability & Performance Intelligence

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

Sales-to-Services Handoff & Capacity Forecasting

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

Operational Process Design & Customer Infrastructure

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

Systems & Enablement

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

Team / Collaboration

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

What success looks like:

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

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - 140,000 USD 

#LI-Remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

Revenue Accountability & Performance Intelligence

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

Sales-to-Services Handoff & Capacity Forecasting

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

Operational Process Design & Customer Infrastructure

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

Systems & Enablement

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

Team / Collaboration

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

What success looks like:

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

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - 140,000 USD 

#LI-Remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

Revenue Accountability & Performance Intelligence

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

Sales-to-Services Handoff & Capacity Forecasting

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

Operational Process Design & Customer Infrastructure

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

Systems & Enablement

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

Team / Collaboration

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

What success looks like:

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

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - 140,000 USD 

#LI-Remote

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
  
  

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

Customer Success Manager, Growth

AcuityMD is a software and data platform that accelerates access to medical technologies. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, and Ajax Health and we help MedTech companies identify how their products are used, understand why outcomes vary, and identify opportunities where physicians can better serve their patients.

Customer Success Managers are trusted advisors to key stakeholders at our accounts, delivering strategic insights to drive their business initiatives. Additionally, this role will be primarily responsible for guiding users and organizations through ongoing platform adoption and value recognition. Customer Success Managers are successful by developing deep and personal relationships with our user base, driving user adoption

Team Mission

We are building a best-in-class Commercial Team and establishing a repeatable go-to-market motion. We are hiring a team of high caliber Enterprise SaaS sales, marketing, and customer success professionals to thoughtfully engage VPs, General Managers, and other corporate decision makers across the Medical Device Industry. Our Commercial Team takes a proactive, consultative, and high-touch approach when working with customers, investing heavily in pre-sales through onboarding and training to ensure customers are on the road to success from Day 1.

We strongly encourage people of all backgrounds to apply.

Responsibilities

• Effectively manage a large book of business across many different account specialties and unique product configurations/use-cases.
• Ensure high user-adoption through effective executive sponsorship, change management, and best practice guidance.
• Lead Executive Business Reviews with client executives to communicate value provided by AcuityMD and to provide strategic suggestions on how to achieve their goals.
• Generate contract renewals by ensuring customers view AcuityMD as critical to their sales process long-term.
• Identify and illuminate customer success stories and examples of AcuityMD ROI
• Partner with Account Executives to build growth strategies for your book of business and work with them to secure successful renewals and expansions.
• Regularly monitor account health and adoption to find new opportunities to help customers acquire maximum value from AcuityMD.
• Develop strategies to quickly mitigate account risk and ensure customers remain committed to AcuityMD.

Your Profile

• You have deep experience in Customer Success for Enterprise SaaS and/or in the Medical Technology industry.
• You’re able to develop close personal relationships with customers and colleagues through empathy and deep curiosity.
• You have the eagerness to learn and dig deep into technical aspects of the platform.
• You are a patient and active listener.
• You’re proactive and self-driven, and bring infectious energy and resiliency.
• You are an excellent verbal and written communicator (email & PPT).
• You’re highly organized with ability to multi-task and prioritize different assignments.
• You are comfortable with change (tooling, processes, etc)

Nice to Haves

• Analytical background with experience with data platforms like Amplitude, Looker, Omni etc or other similar platforms.
• Experience using a customer success platform (Gainsight, Planhat, Vitaly, etc). Especially if you have experience configuring and performing back end administrative work.

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. OTE salary range: $120,000-$160,000

You must have an eligible work permit in the USA to be considered for this position.

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Data Solutions Engineer

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

We are hiring a Data Solutions Engineer to articulate and champion the AcuityMD approach to data and how it drives business results for our MedTech customers. You will be customer-facing and will build relationships throughout the customer journey, across both pre- and post-sales interactions. You will help prospects overcome data hurdles during the sales process, and help our customers envision the value of AcuityMD for their teams.

The Team

We are building a best-in-class Commercial Team and establishing a repeatable go-to-market motion. We are hiring a team of high caliber Enterprise SaaS sales, marketing, and customer success professionals to thoughtfully engage VPs, General Managers, and other corporate decision makers across the Medical Device Industry. Our Commercial Team takes a proactive, consultative, and high-touch approach when working with customers, investing heavily in pre-sales through onboarding and training to ensure customers are on the road to success from day one.

We strongly encourage people of all backgrounds to apply.

Responsibilities

• Demonstrate, showcase, and explain AcuityMD’s approach to core data, data quality, and algorithms to prospects
• Articulate how AcuityMD data products contribute to critical functionality and support our business case with prospects
• Collaborate with prospects and customers to define business requirements related to AcuityMD core data or algorithms
• Serve as the primary point of contact for prospects on all data-related questions
• Maintain deep expertise in the functionality, underlying data and business case for all aspects of the AcuityMD platform
• Collaborate with the sales and product teams to uncover and address business and data challenges in the pre-sales process
• Collaborate with the implementations team to serve as an subject matter expert for using healthcare data (e.g., medical claims) to drive Targeting strategies
• Interface with product and product marketing teams to refine messaging and product roadmap

Your Profile

• You have 5+ years of experience serving as a healthcare data subject matter expert as a healthcare consultant, sales engineer, account executive, or customer-facing similar role
• You have a deep understanding of medical claims and other healthcare data
• You are passionate about harnessing data and algorithms to drive MedTech commercial effectiveness or sales enablement
• You have an excellent ability to craft and deliver tailored sales and data-centric or technical presentations
• You have executive-level communication skills (both in presentation and writing), and can effectively communicate sophisticated business software and data concepts
• You are highly empathetic to customer needs
• You have great interpersonal skills and are enthusiastic about teaching data

Nice to Haves

• You have experience managing and/or selling enterprise SaaS, healthcare data, or healthcare consulting projects
• You have experience using Looker, Tableau, PowerBI, or similar BI-tools to prepare customer-facing reports
• You are proficient in using SQL (or equivalent) to understand and build empathy for healthcare datasets

You must have an eligible work permit in the USA to be considered for this position.

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. OTE salary range: $150,000-$300,000

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Marketing Operations Manager

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

Team Mission

We are building a best-in-class commercial organization by establishing a repeatable go-to-market motion, hiring a team of high caliber Enterprise SaaS sales, marketing, and customer success professionals, and thoughtfully engaging VPs, General Managers, and other corporate decision makers across the Medical Device Industry.

This Role

Reporting into the VP of Revenue Operations and Commercial Intelligence, you will bring an analytical approach, thoughtfulness, and curiosity to our team as we champion the effort to achieve Commercial Excellence at AcuityMD. You will help establish best practices across pipeline generation strategy, analytics, marketing processes, and tech stack management that will drive results now and in the future as we build for scale.

Responsibilities

• Marketing Automation & CRM: Manage and optimize HubSpot to identify, score, track, and attribute leads as they progress through our marketing funnel. Ensure accurate data capture and reporting across campaigns.
• Marketing Resource Allocation: Analyze success of various marketing channels to determine Marketing ROI and inform future resource allocation decisions.
• Tech Stack Optimization: Oversee the management of our marketing tech stack (Hubspot, UserGems, ZoomInfo, LinkedIn Sales Navigator, etc.) ensuring they are effectively integrated and utilized to support SDRs and marketing efforts.
• Campaign Execution: Collaborate with Marketing, paid media partners, and analytics to manage end-to-end campaigns, ensuring timely execution and alignment with marketing objectives.
• Commercial Operations Support: Work closely with Revenue Operations and marketing to streamline lead handoff processes, improve visibility into lead progression, and support sales teams with actionable insights and reports.
• Process Optimization: Support the Revenue Operations, Growth Marketing, and SDR teams in documenting, analyzing, and optimizing the marketing and sales funnels. Implement best practices to enhance efficiency and data accuracy.
• Reporting & Analytics: Generate performance reports to measure the effectiveness of campaigns and channels. Provide actionable insights to both marketing and sales teams to refine strategies.
• Project Management: Organize status meetings, manage project timelines, and facilitate cross-functional collaboration to ensure seamless execution of campaigns. Maintain detailed meeting notes and action items.

Your Profile

• Experience: 5+ years in marketing operations or digital marketing roles with a strong focus on lead management and pipeline generation. Proven track record of managing reporting for multi-channel campaigns and sales outbound efforts reporting that drive measurable results.
• Technical Skills: Hands-on experience with marketing automation platforms like HubSpot and tools like Clay, UserGems, and ZoomInfo. Familiarity with analytics tools such as Google Analytics and Looker. Experience with building and maintaining custom objects and custom attribution methods.
• Analytical Mindset: Ability to interpret data, generate actionable insights, and optimize campaigns based on performance metrics.
• Execution Focus: Demonstrates a “get-it-done” attitude with a focus on tactical execution always keeping in mind the high-level strategy. Ability to implement best practices effectively without owning or building roadmaps.
• Project Management: Strong organizational skills with experience leading cross-functional projects. Familiarity with project management tools like Asana and Notion.
• Communication Skills: Effective communicator with the ability to simplify complex data for marketing and sales teams and maintain alignment across departments. Proven ability to keep teams informed while building and rolling out campaigns and CRM changes.

You must have an eligible work permit in the USA to be considered for this position.

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Who You Will Be Working With

At PMG, you’ll be part of a hands-on Commerce group—marketers, operators, analysts, and creatives who care about people as much as performance. You’ll partner closely with Retail Operations, Retail Media, Strategy, and Creative teammates to shape how products show up across marketplaces and how shoppers experience each PDP from first glance to purchase.

Day to day, you’ll collaborate with client partners and PMG leads to turn insights into action—aligning catalog health, PDP content, pricing, and promotions so everything works in sync. You’ll have supportive leaders, modern tools, and plenty of space to share ideas, mentor others, and keep raising the bar on what “retail ready” looks like.

If you’re excited about building strong client relationships, collaborating across teams, and helping brands achieve meaningful growth through smart, connected commerce, this is the place to do your best work. As a Lead in Retail Services, you’ll feel right at home here.

What You Will Do

• Lead the strategy and execution of catalog and PDP optimization across an entire brand portfolio or client category.
• Architect scalable listing frameworks that reflect marketplace SEO, UX best practices, and real conversion drivers.
• Manage promotional planning and ensure PDP content, pricing, and inventory align with promotional timelines across sales channels.
• Partner with clients and internal teams to design and implement strategic upgrades that improve catalog health and retail readiness.
• Identify systemic listing or promotion issues and build clear remediation playbooks the team can run with.
• Guide junior team members in advanced PDP optimization, promotion scheduling, and retail readiness diagnostics.
• Serve as the go-to subject matter expert on content strategy and promotional enablement for marketplace growth.

What You Will Bring

• 4+ years of experience in Client Strategy, with a bachelor’s degree or equivalent work experience.
• Experienced in catalog architecture planning and SEO-focused enhancement strategies.
• Experienced designing promotion strategies for both event-based moments and evergreen programs.
• Deep knowledge of Seller Central/Vendor Central content workflows and best practices.
• Experienced partnering with Media and Creative to ensure PDPs are truly “launch ready.”
• Experienced Momentum super-user (or similar internal tooling) for content scoring and tracking.
• Experienced using Excel and Looker/Looker Studio dashboards to monitor content performance and surface clear next steps.
• A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Toast Product Marketing team is responsible for shaping product strategy and accelerating growth by connecting Product, Sales, and Marketing around customer-led insights and differentiated value. We play a critical role in influencing product direction, defining portfolio strategy, and ensuring consistent, compelling storytelling across the customer lifecycle.

As Senior Manager, Product Marketing, you will define and evolve the product marketing strategy for Toast Payment Processing and our FinTech products in partnership with Product and Marketing leadership. You will operate as a senior, trusted partner to Product, Sales, Marketing, and Customer Success leaders, leading complex go-to-market efforts across a multi-product platform with multiple buyer personas and sales motions.

This role is currently a senior individual contributor position, expected to drive outsized impact through strategic ownership, cross-functional leadership, and strong executive communication. You will set direction, influence prioritization, and deliver measurable business outcomes in a hyper-growth environment.

A day in the life (Responsibilities):

• Define and evolve the product marketing strategy in close partnership with Product and Marketing leadership, aligning customer needs, product vision, and business priorities
• Lead end-to-end go-to-market strategy for major launches and portfolio initiatives, from early product shaping through launch execution and post-launch optimization
• Serve as a senior thought partner to Product leadership, influencing roadmap prioritization through deep customer, market, and competitive insights
• Develop and scale differentiated positioning and messaging frameworks that articulate value across customer segments, use cases, and buying audiences
• Own and drive performance against key business metrics, including bottom-of-funnel conversion, attach rate, and adoption, partnering cross-functionally to deliver results
• Translate qualitative and quantitative insights into clear strategic recommendations that inform marketing investment, sales motion, and product strategy
• Partner closely with Sales Enablement and Sales leadership to elevate seller effectiveness through messaging, playbooks, and value-based talk tracks
• Act as a senior leader within Product Marketing, mentoring peers, raising the bar on strategic rigor and craft, and scaling impact through influence rather than direct authority

What you'll need to thrive (Requirements):

• 10+ years of experience across product marketing, product management, strategy, consulting, finance, sales, or related roles, with increasing scope and ownership
• Financial Services, FinTech, Payment Processing or other ancillary industry experience
• Proven ability to lead complex, cross-functional initiatives and influence Director- and VP-level stakeholders without direct authority
• Strong track record of owning business outcomes, not just deliverables, within a growth-stage or scaled technology company
• Exceptional written and verbal communication skills, with the ability to distill complexity into clear, compelling narratives that drive alignment and action
• Highly data-driven, with strong analytical capabilities and comfort synthesizing insights across customer research, performance metrics, and market dynamics
• Demonstrated ability to anticipate customer needs and translate insights into durable product and go-to-market strategy
• Comfort operating in ambiguity, setting direction, and driving clarity and momentum across teams

Nice to Haves:

• Experience leading product marketing for multi-product or platform portfolios
• Deep experience partnering with B2B Sales, including sales enablement and pipeline influence
• Familiarity with Salesforce, Chorus, SQL, Looker, or similar analytics tools
• Restaurant, hospitality, or vertical SaaS experience

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Role overview

Car shopping is complicated. At CarGurus, we use data and technology to make it simple, giving people the tools they need to confidently find, buy, finance, or sell a car. The best part? Our work makes a real impact. We’re the most-visited car-shopping site in the US and we are growing fast in our international markets. Ready to come along for the ride? 

The Data Engineering team at CarGurus is looking for a Senior Manager of Analytics Engineering to enable data-driven decisions across the company. You will be responsible for delivering scalable and highly performant data models that power reporting solutions for stakeholders in Product Management, Marketing, Finance, and other key areas of the business. We are looking for a candidate who can work collaboratively with our partners and customers, who can also actively contribute to our corporate analytics strategy as we continue to grow and evolve our core business.  

What you'll do

• Lead a team of analytics engineers who will support a diverse set of stakeholders across our business and engineering orgs.
• Provide tactical leadership to your team to build production quality data transformations and maintainable data architectures.  
• Partner on a vision for CarGurus’ business intelligence platform, identifying gaps in our people and technology strategies.
• Build strong partnerships across the company and continuously integrate feedback into the team’s strategy and operations.
• Collaborate with Product Management to prioritize initiatives, manage the execution of projects, and implement agile software development practices as needed.
• Work in conjunction with the Data Governance team to ensure high data quality standards are understood and met.

What you'll bring

• You are an experienced leader with a track record of managing and developing high-performing teams. You excel at coaching, mentoring, and creating growth opportunities for your team members, helping them achieve their professional goals.
• You have a deep understanding of data analytics principles and experience overseeing complex data landscapes, guiding technical direction, and maintaining high standards for data quality and reliability.
• You possess strong communication and collaboration skills, allowing you to work effectively with cross-functional teams, including Product, Analytics, and other Engineering leaders, to drive alignment and achieve business goals.
• You’ve worked with distributed analytics teams.
• 8+ years of experience in product/business analytics, data engineering, analytics engineering, or related field
• 3+ years of hands-on people management experience
• Experience working with a cloud data warehouse (e.g., Snowflake, Databricks, Google BigQuery) and a modern business intelligence platform (e.g., Tableau, Looker, Sigma)
• Expert level SQL proficiency and deep familiarity with dimensional modeling best practices
• Ability to build a multi-sprint plan for a complex data modeling project from loosely defined business requirements 

Role overview

We’re looking for an analytical, strategic-thinker, result-oriented leader with experience in search and AI engine optimization (SEO/AIO) to join our team at CarGurus and drive our innovation in AI organic traffic. Within the Performance Marketing team, this individual will be responsible for growing CarGurus organic traffic and conversions, focused on AI search and AI/social engines, building a best-in-class organic program and cementing CarGurus as a top organic result for automotive search in the US and our International markets, Canada and the UK. This role will proactively research, analyze and communicate emerging trends in new AI channels, drive the strategy and aggressive testing plans, and execute, measure and optimize SEO/organic initiatives to ensure we are on the leading edge, in partnership with a team of SEO specialists, engineers, Editorial, Product, Marketing & Analytics teams. 

What you'll do

• Executive Communication & Strategic Alignment: Proactively communicate AI search and emerging SEO trends, key implications for CarGurus and suggested strategic priorities to senior executives and board-level audiences. This includes crafting compelling narratives supported by data, anticipating objections, and driving alignment around recommendations. 

• Leadership & Results Driven Innovation: Balance strategic risk-taking and the practical implementation of new ideas to drive SEO/AIO conversions growth and industry leadership. Demonstrate a willingness to allocate resources toward testing innovative high-potential tactics—like AI-driven content clusters or unconventional site architectures—while driving a framework for measurable results.

• Strategy Development: Define and size opportunities, strategic priorities, and roadmap to drive organic AI/social growth based on emerging trends, current performance and data insights; includes informing the Editorial Content team’s roadmap and prioritization. 

• Execution: Oversee execution and optimization of performance-oriented campaigns & initiatives across search AI (e.g. Google AI overviews), emerging AI engines (e.g. Chat-GPT) and social platforms (e.g. Reddit, X, Meta, YouTube) to drive organic visits and conversions.  

• Conversion Optimization: Continuously optimize landing page conversion rates at various stages of the customer journey, from content/research to conversion-oriented pages.

• Testing and Measurement: Analyze marketing data and metrics to measure the effectiveness of SEO efforts, including A/B testing, report building and analysis, and communicate the results and data-driven decisions to key stakeholders.

• Reporting & Forecasting: Monitor SEO/AI performance across all CarGurus markets, reporting regularly to the Executive Team on synthesized trends, work and impact. 

• Resource Management: Define and manage budget and engineering resource allocation. 

• Cross-functional Collaboration: Lead internal communications and collaborate with other departments, such as Engineering, Product, Editorial Content, Analytics and Other Marketing teams to align efforts with overall business goals and ensure adequate prioritization. 

• Market Research: Stay updated on industry trends, competitor strategies, and customer preferences to inform SEO initiatives and strategy.

What you'll bring

• SEO/AI Knowledge: 8+ years of professional experience in SEO, preferably in-house and enterprise-level, with a strong understanding of SEO principles, strategies, and recent AI trends. 

• Strategic Thinking: Strong critical thinking and problem solving skills to identify opportunities and priorities with strategic context and understanding.

• Communication Skills: Strong ability to concisely synthesize and communicate key insights, results and recommendations to key partners and senior leadership, in verbal presentations and written communications.

• Data Analytics: Passion for data, and testing new features or improvements. Proficiency in using data analytics tools (Looker, Google Analytics) and SEO tracking platforms to analyze performance and make data-driven decisions. 

• Adaptability: Ability to work in a fast-paced environment,  learn and adapt to changing marketing trends and technologies, and adapting priorities to critical business needs.

• Cross-Functional Collaboration: Ability to effectively liaison with internal teams, subsidiary partners, and executive team regarding SEO initiatives and progress.

• Team Management: Experience leading teams, particularly content and/or engineering teams

• Attention to Detail: Precision in tracking data and ensuring roadmap elements are executed correctly.

Role overview

CarGurus is looking for a Senior Product Data Analyst to navigate our rich data environment and drive impactful outcomes for our customers and business. You will work cross-functionally to build out core data assets, empower go-to-market teams with revenue-generating insights, and design novel metrics to guide the business.

Our Product Data Analytics org supports our Product, Engineering, and Go-to-Market teams, providing the final word on all analytics for CarGurus’ user and dealer experiences. We are looking for thoughtful, curious, internally driven analytics experts who don’t just pull data, but draw the “so-what” from complex, disparate sources and present these findings to internal teams and external customers. 

What you’ll do

• Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers. 
• Conduct exploratory empirical analyses using SQL and Python that bridge disparate data sources (e.g. website usage, subscription records, inventory volumes, etc.). to quantify product performance, user behavior, and/or market trends. Distill unstructured “big data” around product performance, user behavior and/or market insights into actionable outcomes .  
• Architect new data assets and production-grade data marts via dbt. You will fix modeling bottlenecks and optimize data lineages to ensure scalability. 
• Serve as the technical expert in high-stakes Go-To-Market engagements. You will partner with Sales and Customer Success teams to provide data-backed proof of value, participating in client-facing meetings to help secure new partnerships or mitigate churn through sophisticated impact analysis.
• Partner with engineering teams to advance the company’s core data modeling and architecture, with a focus on optimizing, integrating, and distilling large raw datasets and metadata. 
• Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders’ underlying needs. Relentlessly dig into the data, taking initiative to consult with other individuals and teams as you judge necessary. Go beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues. 
• Use Claude Code and agentic workflows to automate,  to automate, accelerate, and escalate the sophistication of your analyses.
• Advocate for specific, data-driven product innovations that help further company strategy, primarily in partnership with the Product, Engineering, and Go-to-Market teams. 
• Lead rigorous, holistic discussions about statistical analyses and ML modeling.  You are expected to be a “self-teaching” practitioner, staying ahead of quantitative trends. 
• Participate in brainstorming and planning discussions across the organization to these ends. Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
• Craft the metrics that define success. You’ll condense abstract or loosely-defined concepts into concrete calculations and relentlessly audit existing metrics for accuracy and relevance.
• Build intuitive dashboards and other visual monitoring tools to guide stakeholders’ daily decision-making. Experiment with new kinds of visualizations that you believe could be better utilized in the organization. Re-work underlying code to appropriately structure visualization inputs.

What you’ll bring

• 4+ years of experience in analytics, with a proven track record of influencing business strategy through complex modeling and applied statistics. 
• Expert-level skills in SQL, Python, and dbt. Proficiency with file manipulation and version control via Git.
• Strong data storytelling and communication skills, presenting findings to senior leadership and external customers.
• Hands-on experience leveraging  GenAI  to optimize workflows and agentic coding platforms like Claude Code (preferred) or Cursor.
• A self-starter who can take a “grassroots” idea, scope its viability, and bring it to scale.
• A natural thought leader with a proven track record of influencing business strategy.
• Strong command of hypothesis testing, parametric/nonparametric regression, and building automated statistical pipelines. 
• Knack for creative data visualizations.
• You are a “tactful challenger”. You don’t just accept flawed proposals; you provide data-backed alternatives and can explain p-values to executives as easily as you explain them to technical audiences. 
• Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging interdependencies with other teams.
• Preferred tools/programs: Snowflake, Claude Code, Cursor, Looker/LookML, Omni.

Who We Are

Pixability is the leading AI-driven technology company that empowers the world’s largest brands and their agencies to maximize the value of their video advertising across YouTube and CTV. Leveraging its proprietary technology platform and data, Pixability reduces wasted impressions on video campaigns by identifying contextually relevant, brand suitable inventory and maximizes cost efficient outcomes. Pixability’s suite of solutions have been used by the top media agencies including Dentsu, Interpublic Group, Omnicom, Publicis, and GroupM, and brands such as KIND, McDonalds, Salesforce and Puma. For more information about Pixability, please visit http://www.pixability.com

Our Award-Winning Culture

Our team is the heart of our culture. We value innovation, collaboration, and curiosity with a passion for getting things done. We strive to hire and cultivate the best employees and foster a culture of open communication and transparency. We are driven and hard-working, but also committed to having fun along the way with happy hours, team outings, and flexible paid time off. We’re proud to be in the top 3% of Google Partners worldwide, as well as being listed on the Inc. 5000 for nine consecutive years.consecutive years.

The Role:

Pixability is looking for an experienced Data Science & AI product Manager to join our Product team. This role is focussed on deploying our machine learning models to categorize YouTube videos and channels. This data is core to our product and we will continue to iterate on old models, and build new innovations. 

Who You Are:

You are a product manager who brings structure, accountability, and momentum to complex data science-driven initiatives. You are highly execution-focused, consistently setting clear priorities, defining success metrics, and driving teams to hit deadlines while maintaining quality. You actively manage and support data science teams, keeping workstreams on track, removing blockers, and ensuring timely delivery against roadmap commitments. You maintain a strong pulse on external innovation—continuously scanning the landscape for new methodologies, tools, and advancements—and bring forward opportunities for the team to test and incorporate. You have a solid understanding of data science workflows and can translate technical concepts into scalable, customer-facing products. You are both pragmatic and forward-thinking, ensuring innovation ties directly to business impact, and you communicate effectively across stakeholders while taking full ownership of outcomes.

What You’ll Do:

• Drive execution of the data science product roadmap, ensuring projects are clearly scoped, prioritized, and delivered on time against defined success metrics
• Partner closely with data science and engineering to translate models and experiments into scalable, customer-facing product capabilities
• Continuously evaluate external innovations and emerging technologies, bringing forward opportunities for testing and integration that improve performance and differentiate Pixability’s offering
  
  
• Monitor and evaluate the performance of existing models, ensuring ongoing accuracy, stability, and continuous improvement over time
  Develop a deep understanding of customer needs by gathering feedback and insights, and use that input to inform prioritization and roadmap decisions

What You Bring to the Party:

Required:

• 5+ years of product management experience, with direct ownership of data science, machine learning, or analytics-driven products
• Demonstrated ability to drive execution and consistently deliver complex, cross-functional projects on time
• Strong understanding of data science workflows, including experimentation, model development, evaluation, and deployment
• Experience working closely with data scientists and engineers, with the ability to translate technical concepts into clear product requirements
• Proven track record of managing ambiguity, setting priorities, and making data-informed decisions that drive business outcomes
• Ability to monitor and interpret model performance, including defining success metrics and identifying opportunities for optimization
• Strong analytical skills, with comfort working with data to inform product decisions and measure impact
• Experience incorporating customer feedback into product planning and prioritization
• Awareness of emerging trends in AI, machine learning, and ad tech, with the ability to translate external innovation into actionable product opportunities
• Excellent communication and stakeholder management skills, with the ability to align technical and non-technical audiences around goals, timelines, and trade-offs
• Proficiency in technical tools such as SQL (required) and familiarity with Python or other data analysis tools
• Experience with brand suitability, contextual targeting, or inventory quality tools
• Familiarity with Advertising ecosystem

Nice to Have:

• Experience with YouTube measurement/verification ecosystems (DV, IAS, Moat, etc.)
• Experience with Looker

The pay range for this role is $150,000 - $170,00 including a potential bonus opportunity and equity. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

Pixability does not accept/pay fees for unsolicited resumes from third party agencies/vendors.

As part of our dedication to the diversity of our workforce, Pixability is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.

As part of our dedication to the diversity of our workforce, Pixability is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.  

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. 

Beacon Biosignals is seeking a Forward Deployed Engineer to join our Datastore team. The Datastore sits at the heart of Beacon’s platform, defining our foundational data model and serving as the centralized repository and API for brain data collected from clinical studies and home sleep tests. As we expand our partnerships and real-world data integrations, we are looking for an engineer who thrives at the intersection of data platforms, customer needs, and applied problem solving.

In this role, you will work directly with Beacon’s external partners to understand their technical use cases, guide integrations with our APIs and datasets, and develop integrated solutions that enable them to unlock value from Beacon’s data platform. Internally, you will collaborate closely with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models, tools, and workflows, and to improve our ability to troubleshoot and resolve client issues at scale.

This role emphasizes deploying and extending Beacon’s data platform in real-world contexts, rather than building core infrastructure from scratch. You will develop PoCs and production-ready code, build analyses and dashboards, and create integration tooling that helps partners succeed with Beacon’s data.

This position is based in the Boston area to support regular onsite customer engagement and close partnership with our Boston-based team.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success, with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As an Analytics Engineer on the Customer Success Data & Analytics team, you'll bridge the gap between raw data and business-ready insights. You'll build the semantic layer, dbt models, and analytics datasets that power reporting, dashboards, and AI-driven workflows across the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you'll work closely with Data Engineers, Analysts, and CS operations leaders to ensure data is not just available but trusted, consistent, and decision-ready.

This is a hands-on role focused on data modeling, metrics standardization, and analytics infrastructure, with a direct line to CS outcomes like customer retention, agent performance, and proactive customer engagement.

A day in the life (Responsibilities) 

• Build and maintain dbt models that transform raw CS source data from systems like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across CS domains including Customer 360, case management, omnichannel interactions, and agent performance.
• Design and own the semantic and metrics layer for CS KPIs including customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring consistent definitions across all reporting surfaces.
• Partner with CS analysts and business stakeholders to translate reporting requirements into reusable, well-documented data models.
• Implement data testing, validation, and observability frameworks to ensure CS data assets are reliable and trustworthy at all times.
• Contribute to self-service analytics enablement by building datasets and semantic models in Snowflake and Sigma/Hex that allow CS analysts and operations leaders to answer questions independently.
• Collaborate with Data Engineers to ensure upstream pipeline outputs are modeled correctly and fit for purpose for analytics use cases.
• Establish and enforce data modeling standards, naming conventions, and documentation practices that scale as the team grows.
• Support AI and ML use cases by building clean, structured feature datasets for customer health scoring, churn prediction, and agent assist models.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.

What you'll need to thrive (Requirements)

• 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
• Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
• Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
• Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
• Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
• Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
• Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Collaborative working style with experience partnering across Data Engineering, Analytics, and business operations teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools such as GitHub Copilot, Claude, or Snowflake Cortex AI to accelerate pipeline development, testing, and documentation, and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming using Kafka, Kinesis, or Pub/Sub.
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics, including usage data, retention metrics, and customer health.
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms, and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.
• Experience with CI/CD, infrastructure as code, or containerization such as Docker or Terraform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Join us as a Senior Analyst in our thriving Marketing Analytics team, where you'll unleash the power of data to fuel innovation. Collaboration is at the heart of what we do, bridging Marketing, Analytics, Data Engineering, Customer Service, and Product teams. You'll be the trusted partner of a skilled peer group, playing a pivotal role in surmounting complex analytical challenges that fortify our go-to-market strategies. This role isn't just about data; it's about driving innovation and making a tangible impact. 

Here, you'll shape our customer strategy using cutting-edge marketing tech. Data is our compass, guiding every decision, especially within our marketing endeavors. If you're passionate about pioneering retention strategies, amplifying performance measurement, establishing impactful reporting, conducting A/B tests, and quantifying the influence of our marketing initiatives on customer order activity, we're excited to connect with you. Your journey to shaping the future starts here!

What You'll Do: 

• Collaborate closely with senior leaders on exciting business problems, actively shaping the team's strategic direction and focus
• Elevate customer personas and segmentation for personalized marketing, deepening our understanding of target audiences
• Analyze retention and ezRewards Loyalty Program performance, identifying growth opportunities and implementing action plans with cross-functional teams
• Develop insights through in-depth analysis, models, and reports, uncovering new marketing growth opportunities and informing business performance strategies
• Lead the evolution of our Marketing team's experimentation process and documentation, fostering a structured framework for innovation
• Enhance data visualization tools for informed decision-making and empower Marketing teammates
• Utilize data-driven analyses, A/B tests, and statistical models to uncover customer behavior insights and optimize marketing strategies
• Share marketing domain expertise, acting as a thought leader and mentor to peers for collaborative growth

What You Have: 

• 3+ years of relevant quantitative or technical analysis experience, preferably in marketing or e-commerce
• Strong SQL skills for data manipulation and analysis, coupled with experience in statistical modeling (R or Python preferred)
• Proficiency in marketing attribution methods, return on ad spend, and experimental test design (A/B testing)
• Familiarity with diverse marketing tactics including optimizing customer retention through strategies such as Email, SMS, Push, SEO/SEM, Direct Mail, and more
• Knowledge of modern data exploration and visualization tools like Snowflake, Tableau, Looker, Google Data Studio, or PowerBI, and proficiency in Google Analytics or similar digital analytics platforms
• Effective communication skills to convey data insights across different audiences
• Independent worker with cross-functional collaboration ability and adeptness in presenting insights to stakeholders
• Strong organizational skills, time management, and multitasking capability
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

The national total target cash compensation range for this position, including base salary and bonus target, is $119,670-$145,743 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

Revenue Accountability & Performance Intelligence

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

Sales-to-Services Handoff & Capacity Forecasting

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

Operational Process Design & Customer Infrastructure

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

Systems & Enablement

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

Team / Collaboration

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

What success looks like:

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

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - 140,000 USD 

#LI-Hybrid 

About this position:

We’re looking for a Senior Sales Revenue Analyst to power the growth engine behind our enterprise sales organization. In a primarily sales-led enterprise motion, revenue predictability depends on precision — in pipeline coverage, rep ramp productivity, quota capacity, and forecasting accuracy.

This role ensures our revenue leaders operate with clarity and confidence. You’ll partner directly with our CRO, CCO, VP of Revenue Operations, and Sales Leadership to model team productivity, evaluate headcount ROI, and uncover structural opportunities to improve performance. Your insights will shape hiring plans, territory design, ramp expectations, and enterprise go-to-market strategy.

This is a high-visibility individual contributor role for someone who wants to influence strategy — not just report on it.

What you'll be doing:

Strategy

• Translate enterprise revenue targets into bottom-up capacity and productivity models that inform hiring and investment decisions
• Evaluate ramp curves, quota attainment distribution, and tenure mix to identify structural performance opportunities
•  Influence headcount planning, territory design, and quota capacity through data-backed modeling
• Identify long-term revenue risks and opportunities by connecting pipeline health, coverage ratios, and deal velocity trends

Technical/ Execution

• Own enterprise revenue performance reporting, executive dashboards, and forecasting models
•  Improve forecast confidence by integrating ramp timing, coverage ratios, and conversion metrics into reporting frameworks
• Analyze pipeline coverage health across segments and territories; proactively flag structural funnel risks
• Support QBRs, annual planning, and board-level revenue discussions with executive-ready insights
•  Continuously refine SQL queries, Salesforce reporting, and BI dashboards to increase decision speed and accuracy

Team / Collaboration

• Partner closely with CRO, CCO, VP of Revenue Operations, and Sales Leadership as a trusted analytical advisor
• Collaborate with RevOps and Enablement to identify productivity gaps and recommend data-informed improvements
• Translate complex revenue data into clear narratives that influence senior stakeholders
•  Build strong cross-functional relationships across Sales, Finance, and Marketing to ensure alignment on revenue strategy

Research/Best Practices

• Continuously evolve revenue modeling frameworks to reflect changes in sales motion and market conditions
• Benchmark forecasting methodologies and ramp expectations against industry best practices
• Identify and implement improvements to data hygiene, opportunity stage definitions, and reporting standards
•  Bring a test-and-learn mindset to forecasting and capacity planning models

What success looks like:

Within 90 Days
● Fully own enterprise revenue performance reporting and forecasting dashboards
● Establish trust with Sales Leadership through clarity, accuracy, and responsiveness
● Deliver a clear view of pipeline coverage health and ramp productivity trends

Within 6 Months
● Influence at least one hiring, territory, or quota decision through data-driven modeling
● Improve forecast confidence by integrating capacity and ramp analysis into executive reporting
● Proactively identify structural funnel risks before they materially impact results

Within 12 Months
● Become the go-to analytical partner for enterprise revenue leadership
● Drive measurable improvements in forecasting visibility and productivity insight
● Enable leadership to make faster, smarter decisions about team growth and investment

What you bring:

• 4–6+ years of experience in Revenue Analytics, Sales Analytics, or Revenue Operations within a sales-led enterprise motion
• Experience modeling rep ramp, pipeline capacity, quota attainment distribution, and productivity metrics
• Demonstrated track record of influencing strategic decisions through executive-ready insights and data storytelling
• Strong understanding of enterprise sales cycles (multi-stakeholder, longer deal cycles, complex buying committees)
• Advanced SQL skills and deep familiarity with Salesforce opportunity data models
• Experience with BI tools such as Domo, Tableau, Looker, or similar platforms
• Advanced Excel or Google Sheets modeling skills (ramp curves, cohort analysis, sensitivity modeling)
• Strong written communication skills with the ability to translate complex analysis into clear narratives
• Bachelor’s degree in a quantitative field such as Finance, Economics, Mathematics, Engineering, or similar
• Nice to have: familiarity with MEDDPICC or enterprise qualification frameworks
• Nice to have: experience supporting board-level revenue reporting
• Nice to have: background in influencer marketing, creator economy, or digital marketing technology

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 115,000 - 130,000 USD 

#LI-Hybrid  

About this position:

We’re looking for a Senior SEO Manager to lead Later’s organic growth engine and drive measurable impact across demand generation. In this role, you’ll be both a strategic leader and a hands-on practitioner—developing and executing SEO strategies that grow qualified traffic, improve conversion rates, and strengthen Later’s authority in the creator and social media space.
Reporting to the VP of Demand Generation, you’ll own Later’s SEO roadmap, partner cross-functionally with Web, Product Marketing, and Content teams, and set high standards for technical and content-driven SEO execution. This is a critical, high-visibility role across all lines of business (Later Influence, Later Social, and Mavely) with direct impact on revenue growth and regular exposure to senior leadership. 

What you'll be doing:

Strategy

• Own Later’s full SEO strategy across technical, on-page, content, off-site, and AI search to drive sustainable, high-quality organic growth across all three lines of business.
• Define SEO goals, KPIs, and reporting frameworks that connect performance to revenue growth.
• Provide actionable insights to Demand Gen, the broader marketing team, and senior leadership on trends, opportunities, and performance.

Technical/ Execution

• Lead keyword research, content gap analysis, SERP opportunity assessments, and AI search opportunities to inform actionable strategy.
• Create and deliver SEO-driven content plans, including briefs, page structures, and leveraging proprietary data for E-E-A-T methodology.
• Execute advanced on-page optimizations (metadata, internal linking, schema, site architecture).
• Manage technical SEO initiatives—site speed, Core Web Vitals, structured data, crawl/indexation, and CMS optimization (Contentful).
• Build scalable frameworks for monitoring rankings, visibility, and performance across key search queries.
• Drive off-page SEO efforts, including authority-building strategies and high-quality backlink acquisition.
• Regularly audit and revitalize content for freshness, keyword alignment, and competitive differentiation.
• Partner with Analytics and Data teams to ensure Amplitude, GA4, and GSC insights fuel revenue-focused decisions.

Team / Collaboration

• Serve as Later’s SEO lead, collaborating with Web, Content, and Creative teams to deliver integrated campaigns.
• Partner with Content on an SEO-driven content plan, embedding E-E-A-T methodology and 10x competitor strategy.
• Partner with Web for technical SEO, site health, and on-site optimizations.
• Partner with Product Marketing to embed SEO into GTM motions and campaign planning.
• Mentor junior SEO contributors (current or future) and establish SEO best practices across teams.
• Contribute to weekly, monthly, and quarterly planning within Demand Gen and cross-functionally.

Leadership

• Act as the hands-on manager and subject matter expert for SEO at Later.
• Balance day-to-day execution with setting strategy, frameworks, and processes for scalable growth.
• Foster a culture of testing, learning, and continuous optimization.

Research/Best Practices

• Stay ahead of evolving SEO landscapes including AI search (GEO, SGE, Perplexity, ChatGPT Overviews) and voice/social search.
• Monitor competitors and industry leaders, identifying opportunities to differentiate Later.
• Share insights and evangelize SEO best practices across Marketing and Growth teams.

What success looks like:

• Within the first 90 days, you’ve delivered a full SEO audit, identified quick wins, launched initial priority initiatives, and built dashboards that clearly connect SEO performance to revenue.
• By 6 months, SEO is driving measurable growth in trials, mid-market/enterprise leads, and creator sign-ups, with best practices embedded across Content, Web, and Marketing.
• Later consistently ranks on the first page (and top 3) for high-priority keywords across all lines of business, with improvements in Core Web Vitals, site speed, and indexation.
• Later is recognized as an authority in the space, with high-quality backlinks, top-tier press mentions, and a scalable roadmap for continued growth in AI and emerging search channels.

What you bring:

• 5–7+ years of SEO experience with proven impact in SaaS, PLG, or B2B tech environments.
• Track record of driving measurable growth through SEO (traffic, conversions, pipeline).
• Advanced proficiency in on-page, off-page, and technical SEO.
• Hands-on experience with tools such as SEMrush, Ahrefs, Screaming Frog, Moz, GSC, GA4, Amplitude.
• Strong background with CMS platforms (preferably Contentful), including structuring and optimizing workflows.
• Experience managing authority-building efforts and backlink acquisition.
• Strong analytical skills; comfortable with keyword data, content performance, and attribution.
• Excellent communication and collaboration skills; able to influence across technical and creative teams.
• Familiarity with Generative Engine Optimization (GEO) and AI-powered search visibility.
• Experience in creator/social media marketing space.
• Knowledge of Google Tag Manager, A/B testing tools, or data visualization platforms (Looker, Supermetrics).
• Basic knowledge of HTML, CSS, and JavaScript.

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - $ 155,000 USD

#LI-Hybrid

About this position:

We’re looking for a Senior SEO Manager to lead Later’s organic growth engine and drive measurable impact across demand generation. In this role, you’ll be both a strategic leader and a hands-on practitioner—developing and executing SEO strategies that grow qualified traffic, improve conversion rates, and strengthen Later’s authority in the creator and social media space.
Reporting to the VP of Demand Generation, you’ll own Later’s SEO roadmap, partner cross-functionally with Web, Product Marketing, and Content teams, and set high standards for technical and content-driven SEO execution. This is a critical, high-visibility role across all lines of business (Later Influence, Later Social, and Mavely) with direct impact on revenue growth and regular exposure to senior leadership. 

What you'll be doing:

Strategy

• Own Later’s full SEO strategy across technical, on-page, content, off-site, and AI search to drive sustainable, high-quality organic growth across all three lines of business.
• Define SEO goals, KPIs, and reporting frameworks that connect performance to revenue growth.
• Provide actionable insights to Demand Gen, the broader marketing team, and senior leadership on trends, opportunities, and performance.

Technical/ Execution

• Lead keyword research, content gap analysis, SERP opportunity assessments, and AI search opportunities to inform actionable strategy.
• Create and deliver SEO-driven content plans, including briefs, page structures, and leveraging proprietary data for E-E-A-T methodology.
• Execute advanced on-page optimizations (metadata, internal linking, schema, site architecture).
• Manage technical SEO initiatives—site speed, Core Web Vitals, structured data, crawl/indexation, and CMS optimization (Contentful).
• Build scalable frameworks for monitoring rankings, visibility, and performance across key search queries.
• Drive off-page SEO efforts, including authority-building strategies and high-quality backlink acquisition.
• Regularly audit and revitalize content for freshness, keyword alignment, and competitive differentiation.
• Partner with Analytics and Data teams to ensure Amplitude, GA4, and GSC insights fuel revenue-focused decisions.

Team / Collaboration

• Serve as Later’s SEO lead, collaborating with Web, Content, and Creative teams to deliver integrated campaigns.
• Partner with Content on an SEO-driven content plan, embedding E-E-A-T methodology and 10x competitor strategy.
• Partner with Web for technical SEO, site health, and on-site optimizations.
• Partner with Product Marketing to embed SEO into GTM motions and campaign planning.
• Mentor junior SEO contributors (current or future) and establish SEO best practices across teams.
• Contribute to weekly, monthly, and quarterly planning within Demand Gen and cross-functionally.

Leadership

• Act as the hands-on manager and subject matter expert for SEO at Later.
• Balance day-to-day execution with setting strategy, frameworks, and processes for scalable growth.
• Foster a culture of testing, learning, and continuous optimization.

Research/Best Practices

• Stay ahead of evolving SEO landscapes including AI search (GEO, SGE, Perplexity, ChatGPT Overviews) and voice/social search.
• Monitor competitors and industry leaders, identifying opportunities to differentiate Later.
• Share insights and evangelize SEO best practices across Marketing and Growth teams.

What success looks like:

• Within the first 90 days, you’ve delivered a full SEO audit, identified quick wins, launched initial priority initiatives, and built dashboards that clearly connect SEO performance to revenue.
• By 6 months, SEO is driving measurable growth in trials, mid-market/enterprise leads, and creator sign-ups, with best practices embedded across Content, Web, and Marketing.
• Later consistently ranks on the first page (and top 3) for high-priority keywords across all lines of business, with improvements in Core Web Vitals, site speed, and indexation.
• Later is recognized as an authority in the space, with high-quality backlinks, top-tier press mentions, and a scalable roadmap for continued growth in AI and emerging search channels.

What you bring:

• 5–7+ years of SEO experience with proven impact in SaaS, PLG, or B2B tech environments.
• Track record of driving measurable growth through SEO (traffic, conversions, pipeline).
• Advanced proficiency in on-page, off-page, and technical SEO.
• Hands-on experience with tools such as SEMrush, Ahrefs, Screaming Frog, Moz, GSC, GA4, Amplitude.
• Strong background with CMS platforms (preferably Contentful), including structuring and optimizing workflows.
• Experience managing authority-building efforts and backlink acquisition.
• Strong analytical skills; comfortable with keyword data, content performance, and attribution.
• Excellent communication and collaboration skills; able to influence across technical and creative teams.
• Familiarity with Generative Engine Optimization (GEO) and AI-powered search visibility.
• Experience in creator/social media marketing space.
• Knowledge of Google Tag Manager, A/B testing tools, or data visualization platforms (Looker, Supermetrics).
• Basic knowledge of HTML, CSS, and JavaScript.

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 130,000 - $ 155,000 USD

#LI-Hybrid