Gather, analyse, and document business requirements for Salesforce Automotive Cloud solutions supporting dealer, sales, and customer lifecycle processes.

Translate business needs into clear functional specifications, user stories, and acceptance criteria.

Collaborate with developers, architects, and product owners to design scalable Automotive Cloud solutions.

Analyse and optimise business processes related to vehicle sales, dealer management, and customer engagement.

Support testing activities, including functional testing and User Acceptance Testing (UAT) coordination.

Contribute to Salesforce configuration activities, including Flows and process automation.

Support data analysis, reporting requirements, and customer and vehicle data management within Salesforce.

Maintain clear documentation of requirements, processes, and implemented solutions.

Qualifications

Must-haves

Proven experience as a Salesforce Business Analyst in CRM or digital transformation projects.

Strong experience in requirements engineering, including requirements gathering, documentation, and analysis.

Hands-on experience with Salesforce configuration, including objects, fields, validation rules, and basic administration.

Experience building and maintaining Salesforce Flows for business process automation.

Knowledge of Salesforce Automotive Cloud or strong experience with Sales Cloud and/or Service Cloud.

Experience translating business requirements into user stories and functional specifications.

Experience working in Agile environments (preferably SAFe).

Strong stakeholder management and workshop facilitation skills.

Experience supporting testing activities, including functional testing and UAT processes.

Good understanding of CRM data models and customer lifecycle management processes.

Nice-to-haves

Salesforce certifications (e.g., Salesforce Business Analyst, Salesforce Administrator, Sales Cloud or Service Cloud Consultant).

Experience with Automotive Cloud data models, including vehicle, driver, dealer, and service lifecycle objects.

Familiarity with Salesforce integrations and APIs.

Experience in the automotive industry or within OEM/dealer network environments.

Benefits

• Full-time position with 40 hours of work per week.
• 27 vacation days.
• Unlimited employment contract.
• Flexible working hours.
• Opportunity to work in a dynamic and innovative environment.

How to Apply

If you are interested in this opportunity, please submit your application through our website.

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Responsibilities: Create and maintain dashboards that provide Post-Sales leaders and operations partners with clear visibility into business performance Proactively identify opportunities to improve reporting and deliver deeper analytical insights on retention, expansion, and account health Conduct deep-dive analyses to surface trends, risks, and growth opportunities across the Post-Sales business Support the design and implementation of operational improvements in partnership with Revenue Operations team members and cross-functional stakeholders Evaluate tool usage and effectiveness to optimize our Post-Sales tech stack Build and maintain capacity and funnel models to support planning and scenario analysis Support ad hoc data requests, including account deep dives and compensation tracking

Requirements: 2+ years of experience in revenue operations, sales operations, business operations, sales finance, or similar; preferably at a fintech or SaaS company Strong problem-solving skills and collaborative approach to solutioning Excellent written and verbal communication, especially with complex concepts Analytical mindset with a high bar for data precision and accuracy Self-motivated and able to run with projects autonomously with minimal oversight Advanced spreadsheet and modeling skills Moderate SQL skills with experience in data visualization tools (Looker or Hex experience a plus) High familiarity with CRM data models (Salesforce preferred) Experience leveraging AI tools to improve analysis, reporting, or operational efficiency Strong attention to detail including in documentation

Bonus Points: Experience with sales compensation design and tracking Knowledge of revenue recognition principles and finance systems Familiarity with Net Revenue Retention (NRR), churn analysis, and expansion metrics Experience working with product or usage data (e.g., product analytics or customer health scoring)

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Your responsibilities will include designing, building, and maintaining high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organisation. You will also build and optimise production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.

In addition, you will take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. You will also champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.

To succeed in this role, you will need to have 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model. You will also need to have technical stack expertise in SQL (Snowflake), BI visualisation tool (Tableau), and CRM data (Salesforce).

Preferred qualifications include proficiency with scripting (python) & data modelling (dbt), deep understanding of enterprise software sales processes, field operations, and cross-functional GTM mechanics.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About The Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of surface optimizations, in-product funnel improvements, actionable insights, disciplined experimentation, global performance marketing, and AI-powered workflows.

About The Role

We are seeking a full-funnel ‘growth athlete’ with deep expertise in email, notifications, and lifecycle growth initiatives. You will design and scale this motion and associated campaigns across ChatGPT user journeys with rigorous analytical thinking and high-velocity experimentation. This team thrives on rapid testing, precise measurement, and creative problem solving, always keeping user value at the center of our decision-making.

You will own email/notification/lifecycle growth programs end-to-end—from strategy and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, product, data science, and design teams to drive engagement, retention, and monetization through these growth levers.

In this role, you will:

• Design, launch, and optimize global lifecycle tests and programs (email, push notifications, in-app messaging) to drive activation, engagement, and retention across B2C and B2B segments.

• Own end-to-end messaging strategy, including audience segmentation, personalized journeys, channel selection, and timing to maximize conversion and long-term value.

• Develop testing roadmaps for lifecycle campaigns, running A/B and multivariate experiments to improve open rates, click-through rates, and downstream metrics such as paid conversion, DAU/WAU impact, and LTV.

• Partner with product and engineering to enhance messaging infrastructure (event triggers, experimentation tools, data pipelines) and enable sophisticated targeting and automation.

• Build and maintain funnel performance dashboards to surface opportunities and guide prioritization.

• Collaborate with creative and design teams to craft compelling copy and visuals that reinforce ChatGPT’s brand and value proposition while driving measurable outcomes.

• Leverage AI-powered workflows to personalize communications at scale, using predictive models to optimize content, timing, and delivery.

• Partner with data science to develop attribution models and measure the incremental impact of these growth levers. Share these learnings with the broader organization.

You might thrive in this role if you are/have:

• 8+ years of growth experience spanning both consumer (B2C) and business (B2B) products, with a track record of scaling email, push, and in-app messaging platforms and growth initiatives driving activation, engagement, and paid conversion.

• Deep expertise in audience segmentation, targeting, and multi-channel orchestration (email, push, in-app, SMS) across self-serve consumer funnels and multi-stakeholder B2B purchase journeys.

• Hands-on experience with automation, email, and messaging platforms (e.g., SendGrid, Braze, Iterable, [Customer.io](http://customer.io/), Marketo) and comfort working with APIs, event triggers, and CRM data.

• Proven ability to design and interpret experimentation and measurement frameworks—A/B tests, multivariate testing, and incrementality studies—to optimize lifecycle touchpoints across different customer types.

• Strong analytical skills with the ability to model consumer funnels and lead-to-customer pipelines, leveraging data to identify growth opportunities and measure impact.

• Demonstrated success collaborating cross-functionally with product, engineering, design, sales, and analytics teams to build scalable lifecycle programs and nurture both individual users and enterprise accounts.

• Ability to balance strategic planning with tactical execution—from high-level journey mapping/opportunity sizing to writing copy, QAing campaigns, and optimizing workflows directly in messaging platforms.

• Familiarity with AI-powered personalization/workflows and predictive modeling is a strong plus.

• A test-and-learn mindset and comfort operating in a fast-paced, highly iterative environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct impact on your ability to perform the job safely and effectively, and we will consider this in our hiring process.

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Growth - Emails, Notifications and Lifecycle

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

-

Compensation

• $239K – $265K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About The Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of surface optimizations, in-product funnel improvements, actionable insights, disciplined experimentation, global performance marketing, and AI-powered workflows.

About The Role

We are seeking a full-funnel ‘growth athlete’ with deep expertise in email, notifications, and lifecycle growth initiatives. You will design and scale this motion and associated campaigns across ChatGPT user journeys with rigorous analytical thinking and high-velocity experimentation. This team thrives on rapid testing, precise measurement, and creative problem solving, always keeping user value at the center of our decision-making.

You will own email/notification/lifecycle growth programs end-to-end—from strategy and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, product, data science, and design teams to drive engagement, retention, and monetization through these growth levers.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design, launch, and optimize global lifecycle tests and programs (email, push notifications, in-app messaging) to drive activation, engagement, and retention across B2C and B2B segments.

• Own end-to-end messaging strategy, including audience segmentation, personalized journeys, channel selection, and timing to maximize conversion and long-term value.

• Develop testing roadmaps for lifecycle campaigns, running A/B and multivariate experiments to improve open rates, click-through rates, and downstream metrics such as paid conversion, DAU/WAU impact, and LTV.

• Partner with product and engineering to enhance messaging infrastructure (event triggers, experimentation tools, data pipelines) and enable sophisticated targeting and automation.

• Build and maintain funnel performance dashboards to surface opportunities and guide prioritization.

• Collaborate with creative and design teams to craft compelling copy and visuals that reinforce ChatGPT’s brand and value proposition while driving measurable outcomes.

• Leverage AI-powered workflows to personalize communications at scale, using predictive models to optimize content, timing, and delivery.

• Partner with data science to develop attribution models and measure the incremental impact of these growth levers. Share these learnings with the broader organization.

You might thrive in this role if you are/have:

• 8+ years of growth experience spanning both consumer (B2C) and business (B2B) products, with a track record of scaling email, push, and in-app messaging platforms and growth initiatives driving activation, engagement, and paid conversion.

• Deep expertise in audience segmentation, targeting, and multi-channel orchestration (email, push, in-app, SMS) across self-serve consumer funnels and multi-stakeholder B2B purchase journeys.

• Hands-on experience with automation, email, and messaging platforms (e.g., SendGrid, Braze, Iterable, Customer.io, Marketo) and comfort working with APIs, event triggers, and CRM data.

• Proven ability to design and interpret experimentation and measurement frameworks—A/B tests, multivariate testing, and incrementality studies—to optimize lifecycle touchpoints across different customer types.

• Strong analytical skills with the ability to model consumer funnels and lead-to-customer pipelines, leveraging data to identify growth opportunities and measure impact.

• Demonstrated success collaborating with cross-functional teams to drive business outcomes and growth.

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