You will work at the intersection of Sales, Finance, Business Systems, Data Engineering, Marketing, and GTM leadership. You will own critical sales operations programs across forecasting, pipeline management, territory and quota planning, compensation, performance reporting, and process optimization.

This is a high-impact role for a systems thinker and commercially minded operator who can move comfortably between detailed analysis, cross-functional program management, and executive-level recommendations. You will have the opportunity to improve how Fin's sales organization operates while helping scale the GTM engine behind one of the fastest-growing AI products in the market.

Responsibilities

• Own and optimize core sales operations processes, systems, and operating cadences across the sales organization.
• Partner with Sales leadership and Finance to build and maintain forecasting processes, pipeline reporting, quota models, attainment tracking, and performance insights.
• Develop clear, trusted reporting and dashboards that give leaders visibility into funnel health, productivity, conversion, win rates, capacity, and revenue performance.
• Lead territory planning, segmentation, coverage, and capacity analysis to support efficient allocation of sales resources.
• Partner with Finance and Sales leadership on compensation planning, plan administration, performance measurement, and reporting.
• Translate business requirements into scalable solutions across CRM, BI, sales planning, compensation, and other GTM systems.
• Partner with Business Systems and Data Engineering to improve data quality, data models, integrations, automation, and reporting infrastructure.
• Identify and eliminate operational bottlenecks across the sales cycle, including lead routing, opportunity management, approvals, contracting, handoffs, and post-sale transitions.
• Establish and maintain consistent definitions, governance, documentation, and processes for key sales metrics and data.
• Lead complex cross-functional projects from discovery through implementation, including requirements gathering, stakeholder alignment, testing, rollout, and change management.
• Build executive-ready analyses and recommendations that help leadership make decisions about growth, investment, productivity, and organizational design.
• Use AI tools and automation thoughtfully to reduce manual work, improve data access, and increase the speed and quality of sales execution.
• Create scalable operating processes that support growth without requiring linear increases in headcount.
• Act as a trusted advisor to sales leadership on performance trends, operational risks, process improvements, and strategic priorities.
• Support quarterly and annual planning activities, including business reviews, headcount planning, goal-setting, and operating plan development.

Requirements

• 5+ years of experience in Sales Operations, Revenue Operations, GTM Strategy, Sales Strategy & Operations, Business Operations, or a related field, preferably in a high-growth technology or SaaS company.
• Strong understanding of sales processes, forecasting, pipeline management, quota and territory planning, compensation, and sales performance metrics.
• Experience owning or significantly improving CRM, BI, planning, compensation, or revenue technology systems.
• Strong analytical skills, with the ability to translate complex data into clear insights and practical recommendations.
• Advanced Excel or Google Sheets skills and experience with BI or reporting tools such as Tableau, Looker, Power BI, or similar.
• Familiarity with Salesforce or comparable CRM platforms; experience partnering with Business Systems or Data Engineering teams is highly valuable.
• Experience designing scalable processes, data governance frameworks, reporting systems, and operational workflows.
• Ability to manage complex, cross-functional programs with multiple stakeholders and competing priorities.
• Strong commercial judgment and the ability to connect operational improvements to revenue outcomes.
• Excellent written and verbal communication skills, including the ability to present recommendations to senior leaders.
• Comfortable working hands-on in the details while maintaining a strategic view of the broader business.
• AI fluency and curiosity about applying AI, automation, and emerging tools to improve sales productivity and operational efficiency.
• High ownership, sound judgment, intellectual curiosity, and a bias toward action.
• Comfortable and energized operating in a fast-moving, ambiguous environment where priorities evolve quickly.

XML job scraping automation by YubHub

As an Enterprise Account Executive focused on selling Fin, our cutting-edge AI agent, you’ll play a pivotal role in revolutionizing how enterprises scale customer support.

What will I be doing?

• Champion AI transformation: Drive the adoption of Fin, helping enterprise clients unlock the power of AI to automate and scale their support operations.
• Full-cycle sales ownership: Manage the entire sales process,from prospecting to close,with a consultative and tailored approach.
• Customer advocate: Act as the voice of the customer, collaborating with Product, Marketing, and other teams to refine and enhance the AI-agent offering.
• Tailored AI demonstrations: Create and deliver compelling, customized demos that showcase the unique value of Fin as an AI agent.
• Revenue-focused: Provide timely, accurate forecasts and ensure clear visibility into your sales pipeline and performance.
• Team growth: Contribute to the overall success of the sales team by mentoring peers, sharing best practices, and leading innovative projects to up-level the group.

What skills do I need?

• Proven success: 8+ years of experience as an Account Executive, with at least 3 years selling SaaS solutions to enterprise clients.
• Hunter mentality: Proven track record of outbounding and creating the majority of your pipeline and revenue.
• AI expertise: Familiarity with AI-powered solutions, customer engagement tools, or support automation products is a strong advantage.
• Quota achiever: Demonstrated ability to consistently meet and exceed sales targets.
• Strategic communicator: Exceptional written and verbal communication skills, with the ability to clearly articulate complex AI solutions.
• Solution-focused: Thrives in a fast-paced, dynamic environment, managing opportunities across diverse industries.
• Customer-centric mindset: Skilled at building trust and creating value in competitive sales landscapes.
• Growth-oriented: Displays intellectual curiosity, ambition, and a commitment to personal and team development

XML job scraping automation by YubHub

You will work at the intersection of Sales, Finance, Business Systems, Data Engineering, Marketing, and GTM leadership, owning critical sales operations programs across forecasting, pipeline management, territory and quota planning, compensation, performance reporting, and process optimization.

This role involves:

• Optimizing core sales operations processes, systems, and operating cadences across the sales organization.
• Building and maintaining forecasting processes, pipeline reporting, quota models, attainment tracking, and performance insights with Sales leadership and Finance.
• Developing clear, trusted reporting and dashboards for leaders to track funnel health, productivity, conversion, win rates, capacity, and revenue performance.
• Leading territory planning, segmentation, coverage, and capacity analysis to support efficient allocation of sales resources.
• Partnering with Finance and Sales leadership on compensation planning, plan administration, performance measurement, and reporting.
• Translating business requirements into scalable solutions across CRM, BI, sales planning, compensation, and other GTM systems.
• Improving data quality, data models, integrations, automation, and reporting infrastructure with Business Systems and Data Engineering.
• Identifying and eliminating operational bottlenecks across the sales cycle.
• Establishing consistent definitions, governance, documentation, and processes for key sales metrics and data.
• Leading complex cross-functional projects from discovery through implementation.
• Building executive-ready analyses and recommendations for leadership.
• Using AI tools and automation to reduce manual work and improve sales execution.
• Creating scalable operating processes that support growth without requiring linear increases in headcount.
• Acting as a trusted advisor to sales leadership on performance trends, operational risks, and strategic priorities.

The ideal candidate will have:

• 5+ years of experience in Sales Operations, Revenue Operations, GTM Strategy, or a related field, preferably in a high-growth technology or SaaS company.
• Strong understanding of sales processes, forecasting, pipeline management, quota and territory planning, compensation, and sales performance metrics.
• Experience owning or significantly improving CRM, BI, planning, compensation, or revenue technology systems.
• Strong analytical skills and ability to translate complex data into clear insights.
• Advanced Excel or Google Sheets skills and experience with BI or reporting tools.
• Familiarity with Salesforce or comparable CRM platforms.
• Experience designing scalable processes, data governance frameworks, and reporting systems.
• Ability to manage complex, cross-functional programs with multiple stakeholders.
• Strong commercial judgment and ability to connect operational improvements to revenue outcomes.
• Excellent written and verbal communication skills.
• AI fluency and curiosity about applying AI to improve sales productivity.

The base salary range for candidates within the San Francisco Bay Area is $145,800-$174,150.

XML job scraping automation by YubHub

As an Enterprise Account Executive focused on selling Fin, our cutting-edge AI agent, you’ll play a pivotal role in revolutionizing how enterprises scale customer support.

Responsibilities:

• Champion AI transformation: Drive the adoption of Fin, helping enterprise clients unlock the power of AI to automate and scale their support operations.
• Full-cycle sales ownership: Manage the entire sales process,from prospecting to close,with a consultative and tailored approach.
• Customer advocate: Act as the voice of the customer, collaborating with Product, Marketing, and other teams to refine and enhance the AI-agent offering.
• Tailored AI demonstrations: Create and deliver compelling, customized demos that showcase the unique value of Fin as an AI agent.
• Revenue-focused: Provide timely, accurate forecasts and ensure clear visibility into your sales pipeline and performance.
• Team growth: Contribute to the overall success of the sales team by mentoring peers, sharing best practices, and leading innovative projects to up-level the group.

Requirements:

• Proven success: 8+ years of experience as an Account Executive, with at least 3 years selling SaaS solutions to enterprise clients.
• Hunter mentality: Proven track record of outbounding and creating the majority of your pipeline and revenue.
• AI expertise: Familiarity with AI-powered solutions, customer engagement tools, or support automation products is a strong advantage.
• Quota achiever: Demonstrated ability to consistently meet and exceed sales targets.
• Strategic communicator: Exceptional written and verbal communication skills, with the ability to clearly articulate complex AI solutions.
• Solution-focused: Thrives in a fast-paced, dynamic environment, managing opportunities across diverse industries.
• Customer-centric mindset: Skilled at building trust and creating value in competitive sales landscapes.
• Growth-oriented: Displays intellectual curiosity, ambition, and a commitment to personal and team development.

The OTE salary range for candidates is $351,000 to $390,000 for the San Francisco Bay Area and New York, $315,000 to $351,000 in Washington and Chicago, $298,350 to $331,500 in Colorado.

Benefits:

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future.

XML job scraping automation by YubHub

As a Forward Deployed Engineer, you will work hands-on with some of Fin's most strategic customers, partnering closely with R&D and Go-to-Market teams to design and deliver high-impact solutions.

Responsibilities

• Drive adoption of Fin by helping prospects unlock the power of AI capabilities to automate and scale their support operations.
• Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide insights needed to achieve outstanding results with Fin.
• Work hands-on with customers' technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
• Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, successful project delivery, and actionable product feedback.
• Contribute to the evolution of the Forward Deployed Software Engineering function by codifying best practices and sharing insights from customer engagements.

Requirements

• Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, or Physics.
• Experience building a SaaS product with real-world usage.
• Interest in AI/ML and ability to quickly build a strong understanding of novel problems, capabilities, and architectures.
• Strong cross-functional collaboration skills, with the ability to navigate organisational boundaries.
• Strong coding skills, with deep knowledge of at least one high-level programming language.
• Ability to prototype and ship software quickly, while maintaining a high bar for quality and a clear focus on business goals and outcomes.
• Proficiency in using and writing REST APIs to integrate systems effectively.
• Strong communication skills, with the ability to discuss technical topics with engineers and non-technical audiences.
• Willingness to travel and work on-site with customers.

Benefits

• Base salary range: $180,000 - $200,000
• Corporate bonus program or sales incentive
• Stock in the form of Restricted Stock Units (RSUs)
• Various benefits and resources to support health, wellbeing, family, time away from work, and financial future

XML job scraping automation by YubHub

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support , working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact.

Responsibilities

• Drive the adoption of Fin by helping customers automate and scale their support operations.
• Embed with strategic customers to understand their support workflows, data, and business challenges , to identify and implement opportunities where AI can deliver measurable impact.
• Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
• Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
• Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.

Requirements

• Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
• Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
• High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
• Excellent communication skills, both technical and non-technical.
• Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
• Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
• Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
• Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.

Benefits

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements.

XML job scraping automation by YubHub

As a Forward Deployed Engineer, you'll work hands-on with some of Fin's most strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions.

Responsibilities

• Drive adoption of Fin by helping prospects unlock the power of our AI capabilities to automate and scale their support operations.
• Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
• Work hands-on with customers' technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
• Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, successful project delivery, and actionable product feedback.
• Contribute to the evolution of the Forward Deployed Software Engineering function by codifying best practices and sharing insights from customer engagements to help the team scale and grow.

Requirements

• Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering or Physics.
• Experience building a SaaS product with real-world usage.
• Interest in AI/ML and ability to quickly build a strong understanding of novel problems, capabilities, and architectures.
• Strong cross-functional collaboration skills, with the ability to navigate organizational boundaries and bring people together to achieve the best outcomes.
• Strong coding skills, with deep knowledge of at least one high-level programming language.
• Ability to prototype and ship software quickly, while maintaining a high bar for quality and a clear focus on business goals and outcomes.
• Proficiency in using and writing REST APIs to integrate systems effectively.
• Strong communication skills, with the ability to adapt depth and detail as needed.
• Willingness to travel and work on-site with customers to build strong relationships and develop a deep understanding of their needs.

Benefits

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future.

XML job scraping automation by YubHub

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support , working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact.

Responsibilities

• Drive the adoption of Fin by helping customers automate and scale their support operations.
• Embed with strategic customers to understand their support workflows, data, and business challenges , to identify and implement opportunities where AI can deliver measurable impact.
• Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
• Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
• Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.

Requirements

• Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
• Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
• High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
• Excellent communication skills, both technical and non-technical.
• Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
• Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
• Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
• Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.

Benefits

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future.

XML job scraping automation by YubHub

In this role, you will work directly with Fin's biggest customers to deploy and optimize Fin's AI-powered customer support solutions, driving measurable success and gathering insights to inform product development.

Responsibilities

• Own outcomes for a portfolio of strategic customers deploying Fin
• Understand customers' businesses, support operations, and technical environments to propose effective deployment plans
• Run the full deployment lifecycle, including pitching and demoing Fin, scoping solutions, configuring products, and unblocking obstacles
• Serve as the AI expert in the room, educating customers on how to achieve outstanding results with Fin
• Collaborate with Sales, Success, and R&D to ensure seamless deployments
• Turn field learnings into product improvements, shaping the roadmap with evidence-backed input
• Develop deployment playbooks, patterns, and best practices to accelerate future deployments

Requirements

• Customer obsession with deep empathy and a bias for action
• Excellent communication and storytelling skills
• Technical fluency, with the ability to discuss modern tech stacks with engineers and customers
• Evidence-based thinking, using data to inform deployment plans and roadmap decisions
• Cross-functional influence, navigating organizational boundaries to achieve customer success
• Comfort with ambiguity, thriving in fast-changing environments
• Operational rigor, managing multiple deployments and priorities with structure and organization

Nice to Have

• Experience building product for enterprise customers
• Startup or B2B SaaS experience
• Background in technical consulting, solutions engineering, or customer success

The base salary range for candidates within the San Francisco Bay Area is $199,800 - $222,000.

XML job scraping automation by YubHub