You'll be the person who:

Owns and drives the full planning cycle,annual operating plans, quarterly forecasts, rolling projections, and long-range strategic planning tailored to AI research timelines (spoiler: annual budgets don't work)

Builds sophisticated financial models covering multiple revenue streams (API, Enterprise, Playground), GPU compute economics, headcount planning, and cash flow across US and German entities

Delivers monthly and quarterly business reviews with variance analysis, KPIs, and actionable insights that support executive planning and board reporting

Leads scenario planning for decisions most companies don't face: GPU provider contracts, go-to-market expansion, pricing frameworks, and R&D investment allocation where one breakthrough hire might 10x capabilities

Partners with GTM leadership on revenue forecasting when your 'pipeline' includes researchers, startups, and Fortune 500s with completely different economics

Collaborates with Engineering on GPU compute optimization and infrastructure planning where the input is 'we need more GPUs' and your job is figuring out how many, when, and from which providers

Builds executive dashboards tracking what actually matters: ARR growth, customer cohort economics, gross margins, burn rate, and the relationship between model quality and infrastructure cost

Designs scalable FP&A processes and drives automation across financial planning,working with Accounting to ensure data integrity and reporting consistency

Supports high-impact strategic initiatives: pricing optimization, enterprise contract structuring, customer segmentation economics, and fundraising support

Questions We're Wrestling With:

How do you forecast revenue when your models are simultaneously open source and commercial, free tier and enterprise?

What's the right balance between investing in cutting-edge research (expensive, uncertain) and scaling known winners (profitable, competitive)?

What do healthy gross margins look like when your COGS is GPU compute and infrastructure optimization is a competitive advantage?

How do you plan headcount when breakthrough hires in research might exponentially increase capabilities?

How do you structure pricing as customers move from experimentation to production at scale?

What financial frameworks work for a German company scaling globally with US operations?

Who Thrives Here:

You've built FP&A in high-growth environments where 'best practices' are still being written. You're equally comfortable building three-statement models from scratch as you are explaining complex tradeoffs to non-finance stakeholders. You understand that perfect forecasts are impossible, but disciplined planning is essential. You move fast, think in systems, and know when precision matters versus when directional clarity is enough.

You likely have:

6-10 years in FP&A, corporate finance, investment banking, or strategic finance, with at least 4 years hands-on FP&A experience at a high-growth company

Proven track record owning full planning cycles (annual budgeting, quarterly forecasts, long-range planning) at a B2B SaaS, AI, or technology company

Advanced Excel/Google Sheets modeling skills,you build complex financial models from first principles, not templates

Fluency in SaaS metrics (ARR/MRR, NDR, CAC, LTV, payback period, gross margin, Rule of 40) and ideally consumption-based pricing models

Experience with modern finance tech stack and genuine curiosity about AI-powered finance workflows versus legacy systems

Comfort with international operations, multi-entity financial structures, and US GAAP

Ability to work with large datasets, perform deep variance analysis, and build dashboards that executives actually use

We'd be especially excited if you:

Have experience with usage-based or consumption revenue models, API pricing structures, or GPU/cloud infrastructure economics

Understand subscription economics alongside usage-based pricing in technical or developer-focused markets

Bring exposure to enterprise contract structuring and technical sales processes

Have worked somewhere that scaled 3-5x and had to rebuild planning processes mid-flight

Are intellectually honest about uncertainty,you can say 'here's what we don't know yet' without flinching

How We Work Together:

We're a distributed team with real offices that people actually use. Depending on your role, you'll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We'll cover reasonable travel costs to make this possible. We think in-person time matters, and we've structured things to make it accessible to all. We'll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.

Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.

Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.

Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

What We're Building Toward:

We're not just tracking expenses,we're building the financial architecture that enables a frontier AI company to make disciplined decisions at breakthrough speed. Every model you build gives leadership better visibility. Every process you implement accelerates decision-making. Every scenario you analyze shapes how we allocate resources between growth and efficiency, research investment and commercialization. If that sounds more compelling than optimizing existing budgets, we should talk.

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The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques.

You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.

Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.

Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.

Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.

Make independent decisions for the team and handle difficult tradeoffs Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.

Qualifications:

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR equivalent experience.

Preferred Qualifications:

5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.

Organizational, analytical, data science skills.

Problem solver: ability to solve problems that the world has not solved before.

Interpersonal skills: cross-group and cross-culture collaboration.

Experience with real world system building and data collection, including design, coding and evaluation.

Excellent communication to be able to communicate insights to senior leaders.

Experience with driving large collaboration across multiple teams.

Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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We're hiring an experienced Staff AI Product Designer to play a critical role in driving the technical and product vision for priority users of Gemini, with a specific focus on small businesses. You'll be responsible for defining the product, model, and overall experiences from the ground up. You will architect intuitive interfaces, create robust design systems, and develop business strategies and communication frameworks to ensure high-quality app behavior and model responses tailored to the needs of small business owners.

As a key technical and design leader, you will work hand-in-hand with engineers, research scientists, and product managers to build transformative 0-to-1 solutions. You will play a crucial role in shaping how Small Businesses communicate, operate, and scale using generative AI.

Key Responsibilities:

• Drive big product vision & build from the ground up: Lead the technical and design vision for Gemini’s Small Business experiences, designing and building foundational, 0-to-1 features and capabilities entirely from scratch.

• Define business & response strategy: Develop business strategies, communication frameworks, system instructions, and rubrics specifically designed to improve model response quality and relevance for use cases.

• Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms, ensuring natural, efficient, and deeply helpful multimodal interactions.

• Shape LLM behavior: Partner closely with Product, Engineering, and other teams to define user-centered quality standards, establish evaluation methods, and directly shape the behavior and responses of underlying LLM models.

• Design with a systems-thinking approach: Apply a macro-level systems-thinking approach to design, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

• Craft visually compelling & fluid interfaces: Create high-fidelity visual designs, layouts, and engaging motion/interaction designs that make complex, AI-driven information highly accessible and aesthetically pleasing.

• Bridge design and technology: Leverage deep technical understanding to write system instructions and utilize diverse prototyping methods, simulating model responses to inform design requirements and engineering approaches.

• Champion innovation & ethical design: Stay at the forefront of generative AI advancements, considering the intricate interplay of AI models, UI, user safety, and societal impact to develop responsible, user-centered solutions.

Minimum Qualifications:

• 10+ years of experience designing user interfaces and shaping content/responses for complex software applications, with specific experience designing for conversational AI / LLMs.

• A robust portfolio showcasing fluency in visual, motion, and interaction design, alongside examples of content/product strategy and 0-to-1 AI-powered product builds.

• Experience designing tools, communication platforms, or product experiences specifically tailored for Small and Medium Businesses (SMBs).

• Demonstrated expertise in driving big product vision and guiding cross-functional teams (Engineering, PM, Research) through ideation, validation, and iteration.

• Strong systems thinker capable of moving seamlessly between deep technical model evaluation and high-level UX/UI design.

• Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to build from the ground up.

• Excellent communication and storytelling capabilities, with the ability to articulate complex technical and design positions to leadership and cross-company teams.

Preferred Qualifications:

• Experience training, tuning, and evaluating large language models or other generative AI technologies.

• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.

• Experience gathering and working with data to identify loss patterns in model output and create actionable insights.

• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.

• Experience "vibe-coding" or rapidly prototyping with tools like AI Studio, Cursor, Lovable, Replit, or similar AI-assisted development environments.

• Experience with front-end development technologies (HTML, CSS, JavaScript, React, Swift, Jetpack Compose) and coding tools (CLIs, IDEs).

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits.

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All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

Are you looking for an opportunity to transform a business? Gusto is looking for a strategic, customer-focused leader to leverage customer feedback and operational key metrics to develop actionable insights and strategies that shape our product and service, and positively impact customer love. Working with the Product, Engineering, Design and Customer Experience teams, you will be expected to tackle both highly strategic and deeply operational initiatives to deliver value for customers and Gusto. You’ll be customer-obsessed, business-minded, strategic, detail-oriented, and highly creative.

In this role, you'll help stand up the operational and service foundation for a new Gusto product, using both deep human judgment and emerging AI tools to move faster and make better decisions. If this sounds exciting to you, we’d love to connect!

The Benefits Product Operations team at Gusto is made up of committed, creative, collaborative people who care deeply about our mission to enable Benefits for all small and mid-sized businesses and their employees. We’re a highly cross-functional team focused on ensuring our product and service are co-designed and co-developed along the product lifecycle to deliver a best in class customer experience; Gusto is listening to, synthesizing and acting on customer and front-line team feedback; and that cross-functional teams are collaborating and swimming together to build the best version of Gusto for our customers.

Here’s what you’ll do day-to-day:

Shape and support product development and its integration into service strategy for existing customers across the product lifecycle, in collaboration with Engineering, Design, Product Management, and Customer Experience teams.

Understand our product and end-to-end service experience and organizations in intimate detail, including internal and external pain points and feedback. Collaborate to ensure customer support considerations are integrated into broader company decisions.

Lead and partner on product launches between Product Management and Customer Experience (CX) teams to ensure readiness and deliver insights post-launch to ensure a positive experience for customers and internal teams.

Provide business insights and recommendations based on quantitative and qualitative data to influence strategy and operational design in both product and service roadmaps.

Identify and drive cross-functional initiatives that will deliver value for customers and Gusto. Help develop and communicate a clear roadmap for enhancing service capabilities and experiences.

Hypothesis-driven problem solving to drive our business.

Contribute to advancing the Product Operations craft at Gusto and build AI fluency within the team:

Model how to use AI tools to accelerate service design, insight synthesis, and agent-driven operational workflows.

Identify and build AI-assisted operational workflows, including agents, to accelerate VoC synthesis, launch readiness monitoring, and cross-functional signal aggregation.

Use AI tools to prototype service solutions and surface requirements faster, compressing the feedback loop between customer signal and product/service response , before full engineering investment.

Here’s what we're looking for:

10+ years of relevant work experience at growing startups in operating roles (i.e., biz ops/strategy roles, product operations, project/program management, and/or consulting):

Experience scaling service strategy alongside growing SaaS products, including incubating products, building and managing product betas, and/or integrating new products into a scalable best-in-class service model.

Highly adaptable and resilient to changes in business needs or requirements, with the ability to navigate challenges and make decisions even when information is incomplete.

Demonstrated self-starter and organized problem-solver. Self-sufficient, resourceful, and bias for action towards continuous improvement.

Experienced with managing a variety of cross-functional stakeholders on complex strategic initiatives, including influencing senior leaders in Product or Customer Experience orgs.

Strong data literacy and results-orientation, with the ability to identify the right questions, interpret quantitative and qualitative signals, and translate findings into decisions , including comfort using AI-assisted tools for analysis and synthesis.

Excellent written and verbal communication skills, with the ability to effectively communicate complex subjects to both technical and non-technical audiences.

Demonstrated AI fluency in an operational and product context , comfort using AI tools to synthesize qualitative data, identify automation opportunities in service workflows, and building or directing AI agents to reduce manual operational lift:

Experience prototyping with AI (e.g., Claude, Cursor, Codex or similar) is a plus.

Experience with service design and/or service blueprinting.

Experience working in the healthcare or benefits space (PEO, health insurance, etc.) is a plus; candidates with new product incubation experience in any complex regulated space are strongly encouraged to apply.

Our cash compensation amount for this role is $148,000/yr to $182,000/yr in Denver, and $167,000/yr to $217,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop gtm strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)
• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.
• Build and maintain industry-specific value propositions, use cases, and sales playbooks
• Drive territory and account segmentation strategies based on industry characteristics and opportunity
• Establish industry benchmarks and best practices to guide sales approach and prioritization
• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions
• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments
• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights
• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances
• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment
• Work with Product teams to communicate industry-specific feature requirements and market feedback
• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates
• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies
• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements
• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management
• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools
• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

Requirements:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles
• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets
• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy
• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Track record of building sales capacity models, productivity frameworks, and headcount planning processes
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Proven ability to influence and partner with C-level stakeholders and senior sales leadership
• Track record of developing industry-specific frameworks, sales plays, and value propositions

Preferred Qualifications:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles
• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries
• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• MBA or advanced degree
• Experience building industry-specific go-to-market motions from scratch
• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments
• Experience with emerging technologies (AI, ML) in enterprise contexts
• Management consulting experience with focus on industry strategy or commercial excellence

Benefits:

• Annual compensation range: €140,000 - €200,000 EUR
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Responsibilities:

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop go-to-market strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)

• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.

• Build and maintain industry-specific value propositions, use cases, and sales playbooks

• Drive territory and account segmentation strategies based on industry characteristics and opportunity

• Establish industry benchmarks and best practices to guide sales approach and prioritization

• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights

• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances

• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

• Work with Product teams to communicate industry-specific feature requirements and market feedback

• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates

• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements

• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools

• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution

• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

You may be a good fit if you have:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

• Track record of building sales capacity models, productivity frameworks, and headcount planning processes

• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

• Proven ability to influence and partner with C-level stakeholders and senior sales leadership

• Track record of developing industry-specific frameworks, sales plays, and value propositions

• Bachelor's degree in business, economics, or related field

Strong candidates may also have:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

• Track record of scaling sales organisations through 3x+ growth periods in B2B software

• MBA or advanced degree

• Experience building industry-specific go-to-market motions from scratch

• Track record of scaling sales organisations through 3x+ growth periods in B2B software

• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

• Experience with emerging technologies (AI, ML) in enterprise contexts

• Management consulting experience with focus on industry strategy or commercial excellence

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You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Responsibilities:

Industry Strategy & Analysis:

Partner with sales and regional leaders to develop go-to-market strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)

Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.

Build and maintain industry-specific value propositions, use cases, and sales playbooks

Drive territory and account segmentation strategies based on industry characteristics and opportunity

Establish industry benchmarks and best practices to guide sales approach and prioritization

Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

Analyse industry-specific sales metrics and pipeline dynamics to develop proactive insights

Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances

Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

Work with Product teams to communicate industry-specific feature requirements and market feedback

Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates

Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements

Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

Optimise sales technology stack and ensure effective adoption of Salesforce and other sales tools

Establish sales process methodology, qualification criteria, and stage definitions for consistent execution

Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

You may be a good fit if you have:

Required qualifications:

10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

Track record of building sales capacity models, productivity frameworks, and headcount planning processes

Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

Proven ability to influence and partner with C-level stakeholders and senior sales leadership

Track record of developing industry-specific frameworks, sales plays, and value propositions

Bachelor's degree in business, economics, or related field

Strong candidates may also have:

Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

Track record of scaling sales organisations through 3x+ growth periods in B2B software, including territory expansion and comp plan evolution

MBA or advanced degree

Experience building industry-specific go-to-market motions from scratch

Track record of scaling sales organisations through 3x+ growth periods in B2B software

Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

Experience with emerging technologies (AI, ML) in enterprise contexts

Management consulting experience with focus on industry strategy or commercial excellence

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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