Senior Director, Product & Strategy

📍 Job Overview

Job Title: Senior Director, Product & Strategy

Company: Clari + Salesloft

Location: REMOTE - US

Job Type: Full-Time

Category: Product Strategy & Operations

Date Posted: March 12, 2026

Experience Level: 10+ Years

Remote Status: Remote Solely

🚀 Role Summary

• Spearhead the strategic and operational direction of the Product organization, acting as the central analytical engine and operational hub.

• Translate complex customer signals and product telemetry into actionable commercial strategies that fuel company growth and product-led initiatives.

• Lead a dedicated team focused on financial intelligence, business case development, ROI evaluation, and the definition of key product metrics and OKRs.

• Drive cross-functional alignment between Product, Sales, Marketing, and Finance to ensure seamless execution of product-led growth strategies and new product introductions.

• Design and scale the Product Operating System, optimizing the entire product lifecycle and managing the integrated technology stack for enhanced velocity and efficiency.

📝 Enhancement Note: This role is positioned as the critical link between product vision and commercial execution, emphasizing a blend of strategic thinking, deep analytical rigor, and operational leadership. The focus on a "Predictive Revenue System" and "Revenue Context" suggests a strong alignment with Go-to-Market (GTM) operations and a need for candidates who understand how product development directly impacts revenue generation.

📈 Primary Responsibilities

• Business Case & Financial Modeling: Develop and own rigorous financial models and business cases to support new product investments, market entry strategies, and portfolio adjustments, ensuring alignment with company financial goals.

• ROI Evaluation: Establish and manage a robust framework for measuring the return on Research & Development (R&D) investments, continuously auditing product performance against commercial projections to guide resource allocation.

• Product Health & OKRs: Architect and maintain the global Product Scorecard, defining key "North Star" metrics and ensuring all team OKRs are mathematically aligned with top-line company revenue growth objectives.

• Cross-Functional Orchestration: Act as the primary liaison between Product, Sales, Marketing, and Finance departments, facilitating alignment and ensuring company-wide support for product-led initiatives.

• New Product Introduction (NPI) & Go-to-Product: Lead the cross-functional "Go-to-Product" engine, overseeing operational readiness, field enablement strategies, and launch synchronization for all major product releases.

• Product Processes & Tooling: Design, scale, and optimize the "Product Operating System," refining the end-to-end product lifecycle from discovery through sunset, and managing the integrated technology stack (e.g., Pendo, Productboard, Jira, Snowflake, dbt) to enhance team velocity and operational efficiency.

• Data Analysis & Insight Translation: Leverage qualitative customer signals and quantitative product telemetry to extract clear, compelling narratives that inform executive decision-making and strategic shifts.

• Team Leadership: Lead and mentor a team of analysts and strategists within the Product organization, fostering a culture of data-driven decision-making and operational excellence.

📝 Enhancement Note: The "Go-to-Product" engine and "Product Operating System" responsibilities highlight a need for candidates with strong experience in GTM strategy, product launch execution, and process optimization within a software product context. The emphasis on aligning OKRs with top-line company growth points to a direct link with Revenue Operations and Sales Operations functions.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in a quantitative field such as Business, Finance, Economics, Computer Science, or a related discipline is highly recommended. An MBA or advanced degree in a relevant field would be a significant asset.

Experience: A minimum of 10 years of progressive experience in roles such as Product Strategy, Product Operations, Management Consulting, Finance, or a highly analytical Product Management position, preferably within a high-growth SaaS or enterprise software environment.

Required Skills:

• Product Strategy: Proven ability to develop and articulate long-term product visions and strategic roadmaps.

• Financial Modeling & Business Case Development: Expertise in building complex financial models, forecasting, and developing compelling business cases for strategic investments.

• ROI Evaluation: Demonstrated experience in defining, measuring, and reporting on the return on R&D investments.

• OKR Management: Proficiency in architecting and managing OKRs, linking team objectives to overarching company growth targets.

• Cross-Functional Orchestration: Strong ability to collaborate with and influence diverse teams including Product, Sales, Marketing, Finance, and Engineering.

• New Product Introduction (NPI) & Go-to-Market: Experience leading or significantly contributing to the operational aspects of new product launches.

• Product Processes & Operations: Deep understanding of product lifecycle management, process optimization, and the design of operational systems for product organizations.

• Data Analysis & Interpretation: Advanced analytical skills, with the ability to extract meaningful insights from large, complex datasets.

• SQL Proficiency: Demonstrated ability to query and analyze data from relational databases.

• AI & Modern Data Stack: Familiarity with leveraging AI-driven tools and modern data stack technologies (e.g., Snowflake, dbt) for analysis and automation.

• Team Leadership: Proven experience leading, mentoring, and developing high-performing analytical and operational teams.

• Executive Communication: Exceptional ability to translate complex data and strategies into clear, concise narratives for executive audiences.

Preferred Skills:

• Experience with product analytics and user behavior tools (e.g., Pendo, Mixpanel).

• Familiarity with product management platforms (e.g., Productboard, Aha!).

• Experience with project management and issue tracking software (e.g., Jira).

• Knowledge of AI-driven sentiment analysis applications.

• Experience in high-growth environments with ARR exceeding $100M.

• Understanding of GTM strategies and revenue operations principles.

📝 Enhancement Note: The "Ideal Profile" strongly suggests a need for candidates with a consulting or finance background, emphasizing analytical rigor and strategic thinking. The mention of specific tools like Pendo, Productboard, Jira, Snowflake, and dbt indicates a hands-on requirement for these technologies within the product operations framework.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Frameworks: Examples of strategic frameworks developed, financial models built, and business cases presented to justify product investments or strategic pivots.

• Performance Measurement: Demonstrations of how ROI has been evaluated for R&D initiatives, including metrics, reporting dashboards, and post-launch performance analysis.

• Product Scorecard & OKR Examples: Visualizations or descriptions of "North Star" metric definitions, product scorecards, and how team OKRs were architected to align with company growth.

• Cross-Functional Project Leadership: Case studies detailing successful orchestration of product-led initiatives across multiple departments (Product, Sales, Marketing, Finance), highlighting challenges overcome and outcomes achieved.

• Process Optimization Initiatives: Documentation of the design and implementation of "Product Operating Systems" or significant optimization efforts within product lifecycles, showcasing improvements in velocity or efficiency.

Process Documentation:

• Detailed documentation of end-to-end product lifecycle processes, from ideation and discovery through development, launch, and sunset.

• Workflows demonstrating how qualitative customer signals and quantitative product telemetry are integrated into strategic decision-making.

• Examples of how integrated tech stacks (e.g., Pendo, Productboard, Jira, Snowflake, dbt) were leveraged to drive product velocity and operational efficiency.

• Methodologies for measuring and reporting on the commercial outcomes of product-led initiatives.

📝 Enhancement Note: Candidates should be prepared to showcase tangible evidence of strategic thinking, analytical execution, and operational leadership. Portfolio items should demonstrate a clear impact on business outcomes, particularly revenue growth and product efficiency.

💵 Compensation & Benefits

Salary Range: $197,000 - $281,000 USD per year.

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans.

• Performance Bonus: Potential for performance-based bonuses, aligning with company and individual achievements.

• Equity Options: Potential for stock options or other equity compensation, reflecting a stake in the company's growth.

• Retirement Savings Plan: 401(k) plan with potential company match.

• Paid Time Off: Generous vacation, sick leave, and paid holidays.

• Professional Development: Opportunities for continuous learning, including access to training, conferences, and certifications.

• Remote Work Stipend: Potential for a stipend to support home office setup and remote work expenses.

• Parental Leave: Paid parental leave for new parents.

Working Hours: While the standard is 40 hours per week, the role may require flexibility to accommodate cross-functional collaboration across different time zones and critical product launch periods.

📝 Enhancement Note: The provided salary range is a strong indicator for a senior leadership role in a high-growth tech company, particularly for a remote position in the US. The "total compensation package" mention suggests that bonuses, equity, and other incentives are significant components beyond base pay.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, specifically focused on Revenue Intelligence and Sales Engagement platforms, with a strong emphasis on AI and predictive analytics.

Company Size: Clari + Salesloft is a significant player in the SaaS market, formed by the merger of two established companies. The combined entity likely operates with hundreds to thousands of employees, indicating a robust, scalable organization.

Founded: Clari was founded in 2014, and Salesloft in 2011. The merger signifies a strategic move to consolidate market leadership.

Team Structure:

• The Product organization is led by a Chief Product Officer (CPO), under whom this Senior Director will report.

• The role implies leadership over a dedicated team of analysts, strategists, and operations professionals focused on product strategy and execution.

Methodology:

• Data-Driven Decision Making: A strong emphasis on leveraging both qualitative customer feedback and quantitative product telemetry for strategic planning and execution.

• AI-Powered Insights: Integration of AI tools and modern data stacks to automate reporting, enhance analytical capabilities, and drive predictive insights.

• Process Optimization: Continuous focus on designing and optimizing operational systems ("Product Operating System") to improve efficiency, velocity, and execution across the product lifecycle.

• Revenue Context Focus: A core philosophical approach centered on understanding and leveraging "Revenue Context" to guide product development and commercial strategies.

Company Website: https://www.salesloft.com/ (and implicitly https://www.clari.com/)

📝 Enhancement Note: The merger of Clari and Salesloft creates a dominant force in the revenue operations and intelligence space. Candidates should be aware of the combined company's mission to build the first "Predictive Revenue System" and understand how this role contributes directly to that vision. The culture likely values data-driven insights, operational excellence, and strategic foresight.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Director role, signifying a senior leadership position within the Product organization. It involves strategic decision-making, team management, and significant cross-functional influence, making it a pivotal role in driving the company's product strategy and operational execution.

Reporting Structure: Reports directly to the Chief Product Officer (CPO), indicating high-level visibility and direct impact on product vision and strategy. The role also involves managing a team, suggesting a management track within operations and product leadership.

Operations Impact: The role is positioned as the "analytical engine and operational heart of the Product organization," directly responsible for transforming data into commercial strategies that drive growth. This implies a substantial impact on revenue generation, market positioning, and R&D investment effectiveness. The position is critical for aligning product development with sales and marketing efforts, ensuring successful Go-to-Market execution.

Growth Opportunities:

• Strategic Leadership Expansion: Potential to grow into VP-level product strategy or operations roles, overseeing broader product initiatives or a larger operational umbrella.

• Executive Influence: Opportunity to significantly influence the company's overall product vision, strategy, and investment decisions, working closely with the CPO and executive team.

• Specialization in AI/Predictive Revenue: Deepen expertise in AI applications for revenue operations and predictive analytics, a rapidly growing and high-demand field.

• Cross-Functional Leadership: Develop broader leadership capabilities by managing and influencing teams across Sales, Marketing, and Finance, potentially leading to broader GTM leadership roles.

• M&A Integration Experience: Gain valuable experience in integrating product strategies and operations following a significant merger.

📝 Enhancement Note: This role offers a clear path for career advancement within a rapidly evolving and influential tech company. The direct reporting line to the CPO and the strategic nature of the responsibilities position the candidate for significant leadership growth, particularly in areas of AI, predictive analytics, and revenue operations.

🌐 Work Environment

Office Type: This is a fully remote position within the United States, offering flexibility and autonomy. While there may not be a physical office for daily work, the company likely fosters a virtual collaborative environment.

Office Location(s): Primarily REMOTE - US. The company may have physical headquarters or offices, but this role does not require on-site presence.

Workspace Context:

• Virtual Collaboration: Expect a highly collaborative virtual environment utilizing modern communication and collaboration tools (e.g., Slack, Zoom, Google Workspace).

• Data-Centric Tools: Access to a sophisticated technology stack including data warehouses (Snowflake), ETL tools (dbt), CRM systems, product analytics platforms (Pendo), and project management tools (Jira).

• Team Interaction: Regular interaction with product managers, engineers, marketing, sales, and finance teams through virtual meetings, project management platforms, and asynchronous communication channels.

• Autonomy and Trust: A remote work environment that relies on trust, accountability, and the ability to manage one's own time and deliverables effectively.

Work Schedule: The standard working hours are 40 hours per week, but flexibility may be required to accommodate different time zones for cross-functional meetings and to address urgent strategic or operational needs, particularly during product launches.

📝 Enhancement Note: As a remote role, success will depend on strong self-management, communication skills, and the ability to thrive in a virtual, asynchronous work environment. Candidates should be comfortable leveraging digital tools for all aspects of their work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial screening call to assess basic qualifications, cultural fit, and salary expectations.

• Hiring Manager Interview: An interview with the CPO (hiring manager) to delve into strategic thinking, leadership experience, and alignment with the company's vision.

• Team/Cross-Functional Interviews: Interviews with key stakeholders from Product, Sales, Marketing, and Finance to assess collaboration skills, operational understanding, and strategic alignment.

• Analytical/Strategy Case Study: A common step for this type of role will be an in-depth case study or take-home assignment focused on product strategy, financial modeling, or operational problem-solving. This assesses analytical rigor and strategic thinking.

• Executive Interview: A final interview with a senior executive (potentially CEO or CSO) to confirm strategic alignment and assess overall leadership potential.

Portfolio Review Tips:

• Quantify Impact: For each project or initiative presented, clearly articulate the problem, your specific contribution, the solution implemented, and most importantly, the quantifiable business impact (e.g., revenue growth, cost savings, efficiency gains, market share increase).

• Showcase Strategic Thinking: Demonstrate your ability to connect tactical execution with overarching business strategy. Highlight how your work contributed to the company's "Predictive Revenue System" vision.

• Highlight Analytical Rigor: Present detailed financial models, data analysis summaries, and ROI evaluations with clarity. Be prepared to walk through your methodology and assumptions.

• Emphasize Operational Design: Showcase examples of "Product Operating Systems" designed, processes optimized, or technology stacks implemented to drive efficiency and velocity.

• Tailor to the Role: Focus on examples most relevant to product strategy, financial intelligence, operational leadership, and cross-functional alignment within a high-growth SaaS environment.

Challenge Preparation:

• Financial Modeling Scenarios: Practice building financial models for new product investments, revenue forecasting, and market entry. Be ready to defend assumptions.

• Strategic Problem-Solving: Prepare to tackle hypothetical scenarios related to product prioritization, market competition, or operational bottlenecks.

• Data Interpretation: Be ready to interpret datasets (potentially provided during the interview) and derive strategic recommendations.

• Cross-Functional Alignment Scenarios: Anticipate questions about how you would align disparate teams around a common product goal or launch.

• AI/Technology Application: Think about how AI and modern data tools can be practically applied to improve product strategy and operations.

📝 Enhancement Note: The interview process is designed to thoroughly assess strategic acumen, analytical depth, leadership capabilities, and operational execution. A strong, data-backed portfolio is crucial, and candidates should be prepared for rigorous case study challenges that mirror the core responsibilities of the role.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Productboard, Aha!, Jira (for workflow and issue tracking, often integrated with product roadmapping).

• Product Analytics & User Behavior: Pendo, Mixpanel, Amplitude (for understanding user engagement, feature adoption, and product telemetry).

• Data Warehousing & Transformation: Snowflake, dbt (essential for managing and transforming large datasets for analysis).

• CRM: Salesforce (or similar) for understanding customer data, sales pipelines, and revenue context.

• Business Intelligence/Visualization: Tableau, Looker, Power BI (for creating dashboards and reporting on product performance and business metrics).

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Workspace.

• Financial Modeling Software: Advanced Excel, Google Sheets, potentially specialized financial planning tools.

Analytics & Reporting:

• Data Analysis Tools: SQL, Python/R (for advanced analysis and scripting).

• Reporting Dashboards: Experience building and consuming comprehensive dashboards that track key product and business metrics.

CRM & Automation:

• CRM Data Management: Utilizing CRM data to inform product strategy and measure commercial outcomes.

• Workflow Automation: Understanding how tools can automate reporting, data aggregation, and other operational tasks.

• Integration Tools: Familiarity with how different systems (CRM, product analytics, BI tools) are integrated to create a unified view of product performance and revenue context.

📝 Enhancement Note: Proficiency with a modern data stack (Snowflake, dbt), product analytics tools (Pendo), and CRM systems (Salesforce) is critical. The ability to leverage these tools for strategic analysis, operational efficiency, and driving the "Predictive Revenue System" vision is paramount.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A commitment to using data and rigorous analysis to inform all strategic and operational decisions.

• Customer-Centricity: Deep understanding of customer needs and signals, translating them into product strategies that drive value.

• Operational Rigor: Emphasis on building scalable, efficient, and well-defined processes ("Product Operating System") to ensure flawless execution.

• Cross-Functional Collaboration: A belief in the power of seamless integration and communication across all departments to achieve shared goals.

• Innovation & AI Integration: A forward-thinking approach that embraces new technologies, particularly AI, to enhance capabilities and drive the company's mission.

• Impact & Accountability: A focus on driving measurable business outcomes and taking ownership of results.

Collaboration Style:

• Strategic Partnership: Working closely with the CPO and executive team to shape product direction.

• Cross-Departmental Alignment: Acting as a key connective tissue, facilitating communication and collaboration between Product, Sales, Marketing, and Finance.

• Data-Informed Discussions: Driving conversations and decision-making with data, fostering an environment where insights lead to action.

• Process Improvement Culture: Encouraging continuous feedback and iteration on operational processes to enhance efficiency and effectiveness.

• Remote-First Communication: Utilizing digital tools effectively for clear, asynchronous, and synchronous communication.

📝 Enhancement Note: The culture likely emphasizes a blend of analytical rigor, strategic foresight, and collaborative execution. Candidates should demonstrate an ability to operate autonomously while also being a strong team player who can influence stakeholders across different functions.

⚡ Challenges & Growth Opportunities

Challenges:

• Merger Integration: Navigating the complexities of integrating product strategies and operational processes post-merger between Clari and Salesloft.

• Scalability: Ensuring that the product strategy and operational systems can scale effectively with the company's rapid growth.

• Data Complexity: Managing and deriving insights from increasingly large and complex datasets across multiple product lines and customer segments.

• Balancing Vision and Execution: Translating ambitious product visions into executable plans with clear commercial outcomes.

• Cross-Functional Alignment: Maintaining tight alignment and effective communication across highly diverse and potentially siloed departments.

Learning & Development Opportunities:

• Deep Dive into AI for Revenue: Gaining specialized knowledge in applying AI and machine learning to revenue intelligence and predictive analytics.

• Strategic Leadership Development: Opportunities to hone executive-level strategic thinking, financial acumen, and leadership skills under the guidance of senior leadership.

• GTM Strategy Mastery: Developing a comprehensive understanding of Go-to-Market strategies within a leading SaaS company, particularly for sophisticated enterprise products.

• Industry Influence: Contributing to the development of the "Predictive Revenue System" category, potentially influencing industry best practices.

• Mentorship: Access to mentorship from experienced leaders within Clari + Salesloft's executive team.

📝 Enhancement Note: This role presents a significant opportunity to tackle complex challenges in a dynamic, high-growth environment, offering substantial professional development and the chance to shape a new category in enterprise software.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you developed a business case for a significant product investment. What was your methodology, what were the key assumptions, and what was the outcome?"

• "How would you define and measure the 'North Star' metric for a product like ours? How would you ensure team OKRs mathematically link to company revenue growth?"

• "Imagine a scenario where Product, Sales, and Marketing have conflicting priorities for a new feature launch. How would you orchestrate these teams to achieve alignment and a successful Go-to-Product launch?"

Company & Culture Questions:

• "Based on your understanding of Clari + Salesloft, what do you see as the biggest strategic opportunities and challenges for our Product organization in the next 1-2 years?"

• "How do you foster a data-driven culture within a product team, especially when dealing with qualitative customer feedback?"

• "Describe your leadership style and how you've motivated high-performing analytical teams in the past."

Portfolio Presentation Strategy:

• Structure: Use a STAR method (Situation, Task, Action, Result) for case studies, focusing on quantifiable outcomes and your specific role.

• Data Visualization: When presenting financial models or data analysis, use clear, concise charts and graphs. Be ready to explain each element.

• Narrative Arc: Frame your portfolio pieces as compelling stories of problem-solving, strategic thinking, and operational execution that led to tangible business impact.

• Technical Depth: Be prepared to discuss the tools and methodologies used (SQL, Snowflake, dbt, Pendo, financial modeling techniques) at a level appropriate for the interviewers.

• Company Relevance: Explicitly tie your experiences and portfolio examples back to the requirements and mission of Clari + Salesloft, especially the "Predictive Revenue System" concept.

📝 Enhancement Note: Prepare to demonstrate a deep understanding of product strategy, financial modeling, operational execution, and cross-functional leadership. The interview process will likely involve scenario-based questions and a comprehensive review of your past work, so a well-curated portfolio showcasing quantifiable results is essential.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Greenhouse link on the Salesloft careers page.

• Portfolio Customization: Tailor your resume and LinkedIn profile to highlight quantifiable achievements in product strategy, financial modeling, ROI evaluation, cross-functional leadership, and operational system design, using keywords from the job description (e.g., "Predictive Revenue System," "Product Operating System," "Go-to-Product").

• Resume Optimization: Ensure your resume clearly articulates your experience in high-growth environments, team leadership, and leveraging the modern data stack (Snowflake, dbt) and AI tools. Quantify your impact wherever possible with metrics related to revenue growth, efficiency gains, or investment returns.

• Interview Preparation: Practice articulating your experience using the STAR method, prepare specific examples for strategic and operational questions, and rehearse your portfolio presentation, focusing on clear storytelling and quantifiable results.

• Company Research: Thoroughly research Clari + Salesloft's mission, recent merger, product offerings, and company culture. Understand their vision for the "Predictive Revenue System" and how this role contributes to it.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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