Deal Design Manager (Commercial Architect)

📍 Job Overview

Job Title: Deal Design Manager (Commercial Architect)

Company: Cognite - AI for Industry

Location: Phoenix, AZ, USA

Job Type: Full-time

Category: Revenue Operations / Sales Operations

Date Posted: 2026-09-30T16:27:11

Experience Level: Mid to Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Serve as a strategic, non-customer-facing advisor within the Global Revenue Operations organization, acting as a commercial architect for high-value enterprise software transactions.

• Partner closely with Sales Representatives and Regional Revenue Presidents to translate complex industrial data integration requirements into optimized commercial packages, prioritizing ARR growth, service margin, and product scalability.

• Lead and shape robust deal frameworks, establish repeatable playbooks, and multiply GTM team capabilities through mentoring and the development of self-service assets.

• Champion the optimization of commercial governance processes, leveraging Generative AI tools for proposal review, liability identification, and revenue recognition risk assessment.

📝 Enhancement Note: This role is positioned as a critical, high-influence function within Revenue Operations, focusing on the strategic structuring of complex SaaS deals rather than direct sales execution. The emphasis on "Commercial Architect" and "Trusted Commercial Advisor" highlights a sophisticated, analytical approach to deal-making that balances customer needs with Cognite's commercial objectives. The integration of Generative AI for proposal review and governance is a key differentiator.

📈 Primary Responsibilities

• Commercial Deal Architecture: Design creative commercial options, trade-offs, and alternative structures for complex, multi-year enterprise SaaS transactions, particularly where no clear precedent exists, enabling multiple paths to closing deals.

• Strategic Collaborative Navigation & Margin Governance: Act as the primary enabler for revenue compliance, appropriately challenging pricing model deviations and unbundling service-heavy agreements to optimize high-margin software components. Participate in customer-facing commercial discussions when requested to explain pricing, contract clauses, or value propositions.

• Cross-Functional Orchestration: Lead alignment across Legal, Finance, Product Management, and Executive teams to streamline internal approval processes. Guide Sales Representatives in optimizing commercial elements by suggesting software-led alternatives or partner-driven delivery models to protect long-term gross margins while aligning with customer budget constraints.

• GenAI-Powered Proposal Review & Governance: Champion the optimization of commercial governance by deploying, calibrating, and leveraging advanced GenAI tools (e.g., automated proposal engines, LLM-based contract/SLA scanners) for comprehensive "first-pass" proposal reviews, identifying non-standard liabilities, revenue recognition risks (ASC 606), and pricing leaks.

• Operational Leverage & Scalability: Design automated GenAI prompts, CPQ templates, and structured discounting guardrails to create leverage, making the GTM team more autonomous and effective in deal structuring.

• Revenue Ops Continuity & Data Hygiene: Maintain pristine data hygiene within Salesforce (SFDC), auditing deal terms, tracking contract exceptions, and building predictable executive margin-impact models. Support the Sales Enablement team in developing training modules on CPQ best practices, SFDC database hygiene, and AI-driven deal auditing to elevate the global revenue operations team's performance.

📝 Enhancement Note: The responsibilities emphasize a strategic, analytical, and process-driven approach. The inclusion of "GenAI-Powered Proposal Review" and "Operational Leverage & Scalability" indicates a forward-thinking role that leverages technology to enhance efficiency and governance within the deal-making process. The focus on margin governance and ASC 606 compliance points to a strong financial and compliance element.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business Administration, Finance, Economics, or a related field. An MBA or advanced degree is a plus. Experience:

• 5-10 years of experience in enterprise software sales operations, deal desk, commercial operations, finance, or a related strategic role, with a strong focus on complex SaaS transactions.

• Demonstrated experience in structuring and negotiating multi-year enterprise software agreements, including understanding of SaaS pricing models, revenue recognition (ASC 606), and margin analysis.

• Proven ability to lead cross-functional initiatives and influence stakeholders across Sales, Legal, Finance, and Product Management. Required Skills:

• Commercial Deal Architecture & Structuring: Expertise in designing and optimizing complex enterprise SaaS deal structures, including understanding of value-based pricing, tiered licensing, and recurring revenue models.

• Revenue Operations & Governance: Deep understanding of revenue operations principles, deal desk best practices, pricing models, and margin governance to ensure compliance and profitability.

• Salesforce (SFDC) Proficiency: Advanced knowledge of Salesforce for deal tracking, data hygiene, auditing, and reporting, with experience in CPQ (Configure, Price, Quote) functionalities.

• Analytical & Financial Modeling: Strong analytical skills with the ability to perform financial modeling, develop margin impact analyses, and interpret complex data for strategic decision-making.

• Cross-Functional Leadership & Influence: Proven ability to lead and collaborate effectively with diverse teams (Sales, Legal, Finance, Product) to achieve common goals.

• Generative AI Tool Application: Familiarity with or a strong aptitude for leveraging AI and LLM-based tools for proposal analysis, contract review, and process automation.

Preferred Skills:

• Experience with Industrial DataOps platforms or software within manufacturing, energy, or process industries.

• Knowledge of ASC 606 revenue recognition standards.

• Familiarity with contract management systems and legal review processes.

• Experience in developing and delivering training programs for sales or operations teams.

📝 Enhancement Note: The requirements emphasize a blend of strategic commercial acumen, operational rigor, and technological aptitude. The explicit mention of GenAI tools and Salesforce proficiency, along with ASC 606, highlights the specialized nature of this role within modern revenue operations. The preferred skills suggest a company with a specific industry focus.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Deal Structuring Case Studies: Provide 2-3 detailed examples of complex enterprise SaaS deals you have architected or significantly influenced. Clearly outline the customer's need, the challenges faced, the commercial structures proposed, the trade-offs considered, and the ultimate outcome in terms of ARR, margin, and customer value.

• Process Optimization Examples: Showcase instances where you implemented process improvements within a deal desk, sales operations, or commercial governance function, detailing the problem, your solution, and the measurable impact (e.g., reduced deal cycle time, improved margin, enhanced data accuracy).

• System Implementation/Leverage Documentation: If applicable, document your experience in configuring or leveraging systems like Salesforce CPQ, CRM, or AI-powered proposal tools. Highlight how you used these systems to drive efficiency, enforce governance, or provide analytical insights.

• ROI Demonstration: For any process or deal structure presented, be prepared to articulate the Return on Investment (ROI) for Cognite, demonstrating how your contributions directly impacted key commercial drivers like ARR growth, profit margins, or operational efficiency.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss your approach to designing and optimizing deal approval workflows, ensuring clarity, efficiency, and robust governance. This includes mapping current states and proposing improved future states.

• Implementation & Automation: Demonstrate experience in implementing new processes or automating existing ones, particularly using tools like Salesforce, CPQ, or AI. Detail how you managed the change and ensured successful adoption.

• Measurement & Performance Analysis: Explain how you track and measure the performance of deal structures, pricing strategies, and operational processes. This includes defining key metrics, establishing dashboards, and reporting on outcomes to executive stakeholders.

📝 Enhancement Note: The portfolio requirements are highly specific to the strategic and analytical nature of this role, demanding evidence of practical application in deal structuring, process improvement, and system utilization, with a strong emphasis on quantifiable results and ROI.

💵 Compensation & Benefits

Salary Range:

• Given the "Deal Design Manager (Commercial Architect)" title, the strategic nature of the role, the company's focus on high-value enterprise SaaS, and the location in Phoenix, AZ, a competitive salary range is estimated between $130,000 - $180,000 annually. This estimate is based on industry benchmarks for experienced Revenue Operations/Deal Desk professionals in major US metropolitan areas, considering the specialized skills in commercial architecture, SaaS deal structuring, and AI integration. The final compensation will depend on the candidate's specific experience, qualifications, and performance during the interview process. Benefits:

• Competitive Compensation: Including base salary and potentially performance-based incentives or bonuses tied to deal outcomes.

• 401(k) with Employer Matching: A strong retirement savings plan with employer contributions to help secure financial futures.

• Comprehensive Health, Dental, and Vision Coverages: Robust medical, dental, and vision insurance plans for employees and dependents, ensuring well-being.

• Disability Coverage: Protection against income loss due to disability.

• Unlimited PTO: Flexible paid time off policy, allowing employees to manage their work-life balance effectively.

• Paid Parental Leave Program: Support for new parents with paid leave to bond with their new child.

• Employee Referral Program: Incentives for referring qualified candidates to Cognite.

Working Hours:

• Standard full-time hours (approximately 40 hours per week) are expected. However, given the strategic and deal-driven nature of the role, flexibility may be required during critical deal cycles or for cross-functional meetings across different time zones. The emphasis on "Unlimited PTO" suggests a culture that values results and employee well-being over strict hour tracking.

📝 Enhancement Note: The salary range is an estimation based on industry data for similar roles and locations. The benefits listed are directly from the job description and are presented with context relevant to operations professionals. The "Unlimited PTO" is highlighted as a cultural indicator.

🎯 Team & Company Context

🏢 Company Culture

Industry: Industrial Digitalization, AI for Industry, Enterprise Software (SaaS). Cognite is at the forefront of applying AI and data solutions to complex industrial challenges, aiming to drive significant operational improvements and digital transformation for clients in sectors like manufacturing, energy, and process industries.

Company Size: Cognite is a significant player in the industrial software market, with a global presence and a growing employee base, indicating a dynamic and expanding organization. This size suggests a structured environment with opportunities for specialization but also the agility to adapt and innovate.

Founded: Cognite was founded with a clear vision to tackle industrial digitalization challenges, establishing a strong foundation in industrial heritage and AI capabilities. This history implies a company culture that values innovation, deep industry knowledge, and a long-term commitment to solving complex problems.

Team Structure:

• The Deal Design Manager operates within the Global Revenue Operations organization, reporting to the VP of Deal Desk. This places the role at a strategic level, supporting the entire GTM (Go-To-Market) function.

• The role requires close collaboration with Sales Representatives, Regional Revenue Presidents, Legal, Finance, and Product Management. This indicates a highly integrated, cross-functional operational structure where the Deal Design Manager acts as a central orchestrator for complex transactions.

• The team structure emphasizes a blend of specialized expertise (Deal Design, Revenue Ops) and broad GTM alignment, aiming for high velocity and scalable enterprise software sales. Methodology:

• Data-Driven Decision Making: The role emphasizes maintaining "pristine data hygiene" in Salesforce and building "predictable executive margin-impact models," indicating a strong reliance on accurate data for strategic commercial decisions.

• Process Optimization & Automation: A core mandate is to "design automated GenAI prompts, CPQ templates, and structured discounting guardrails," highlighting a methodology focused on creating leverage, efficiency, and scalability through technology and structured processes.

• Strategic Advisory & Collaboration: The role functions as a "Trusted Commercial Advisor," requiring active partnership, negotiation, and cross-functional orchestration to navigate complex deals and internal approvals.

Company Website: https://www.cognite.com/

📝 Enhancement Note: The company culture is described as "relentless" and focused on solving "hardest, highest-impact problems." The emphasis on "Moonshot" goals and "Cognite 3.0" signals a high-growth, ambitious environment. The Deal Design Manager role is central to enabling this high-velocity GTM strategy by providing sophisticated commercial structuring and governance.

📈 Career & Growth Analysis

Operations Career Level: This role is a senior-level position within Revenue Operations, often referred to as a "Manager" or "Senior Manager" level, depending on the specific team structure. It's a strategic, non-customer-facing role that requires significant experience and expertise in deal structuring, commercial operations, and cross-functional leadership. It's a step beyond a pure Sales Ops Analyst or Coordinator, moving into architecting solutions and influencing strategy.

Reporting Structure: The Deal Design Manager reports directly to the VP of Deal Desk, indicating a high level of visibility and access to executive leadership. This direct line to a VP suggests significant autonomy and influence over critical commercial processes.

Operations Impact: The role's impact is directly tied to Cognite's "Mission Moonshot" to unlock $100B in customer value. By optimizing deal structures, ensuring margin governance, and streamlining approvals, this role directly contributes to maximizing ARR growth, service margins, and the scalability of Cognite's enterprise software solutions. It is crucial for enabling repeatable, high-ROI autonomous workflows across the enterprise.

Growth Opportunities:

• Leadership Progression: Potential to grow into a Director-level role within Deal Desk or Revenue Operations, potentially leading a team of Deal Architects or Commercial Operations specialists.

• Specialization Expansion: Deepen expertise in specific areas like complex deal structuring for emerging technologies (e.g., GenAI integration in industrial settings), advanced pricing strategy, or revenue compliance within new markets.

• Cross-Functional Leadership: Opportunity to move into broader GTM leadership roles, leveraging the deep understanding of commercial drivers gained in this position, or transition into strategic finance or business operations roles.

• Mentorship & Playbook Development: Playing a key role in developing and mentoring others within the GTM and Revenue Operations teams, contributing to the overall operational maturity and effectiveness of the organization.

📝 Enhancement Note: This role is positioned as a high-impact, strategic position with clear pathways for career advancement within Revenue Operations and broader GTM functions. The emphasis on leadership and specialization growth is significant.

🌐 Work Environment

Office Type: The job is listed as "On-site" in Phoenix, AZ. This suggests a traditional office environment where in-person collaboration, team meetings, and direct interaction with colleagues are expected. While the role is "non-customer-facing," being on-site facilitates seamless collaboration with internal teams like Sales, Finance, and Legal.

Office Location(s): Phoenix, AZ, USA. This location offers a significant business hub with access to talent and resources. The specific office details (e.g., amenities, proximity to public transport) would need to be confirmed, but it's part of Cognite's global presence.

Workspace Context:

• Collaborative Environment: As an on-site role within a growing tech company, the workspace likely supports collaborative team efforts. This includes meeting rooms, shared workspaces, and informal interaction areas conducive to brainstorming and problem-solving, essential for deal design.

• Operations Tools & Technology: Access to and utilization of Cognite's technology stack, including Salesforce (SFDC), CPQ tools, potentially AI-driven proposal engines, and internal communication platforms, will be integral to daily work.

• Team Interaction: The role requires frequent interaction with sales leadership, finance, legal, and product teams. Being on-site facilitates these spontaneous discussions, quick clarifications, and relationship-building crucial for navigating complex deal approvals and negotiations.

Work Schedule: Standard full-time (approx. 40 hours/week) with potential for flexibility during critical deal phases. The "Unlimited PTO" policy suggests a culture that prioritizes results and employee well-being over strict timekeeping, but the on-site requirement means physical presence is expected during core business hours.

📝 Enhancement Note: The "On-site" designation is key, emphasizing the importance of in-person collaboration for this strategic role, even though it's not customer-facing. This implies a culture that values face-to-face interaction for complex problem-solving and team synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial screen to assess basic qualifications, experience, and cultural fit, focusing on your understanding of SaaS deal structuring and revenue operations.

• Hiring Manager Interview: A deep dive with the VP of Deal Desk or a Senior Deal Design Manager to evaluate your strategic thinking, deal architecting skills, experience with complex SaaS transactions, and understanding of margin governance. Be prepared to discuss your approach to problem-solving and cross-functional collaboration.

• Panel Interview / Case Study Presentation: Expect a session with key stakeholders from Sales, Finance, and Legal. This will likely involve presenting a detailed case study from your portfolio showcasing a complex deal you designed, explaining your methodology, trade-offs, and the resulting commercial impact. You may also be given a hypothetical deal scenario to analyze and present your recommended structure and rationale.

• Executive Interview: A final interview with a senior executive (e.g., CRO, VP of RevOps) to assess strategic alignment, leadership potential, and overall fit with Cognite's ambitious "Moonshot" vision.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business impact of your deal structures and process improvements. Quantify results using metrics like ARR growth, margin improvement, deal cycle reduction, and revenue compliance.

• Showcase Strategic Thinking: For each case study, explain the "why" behind your decisions. Detail the trade-offs you considered and how you balanced customer needs with Cognite's commercial drivers (ARR, margin, scalability).

• Highlight GenAI/Tech Leverage: If you have experience using AI or advanced tools for deal analysis or process automation, showcase this prominently. Explain how you leveraged technology to drive efficiency and governance.

• Structure for Clarity: Organize your portfolio logically. For deal case studies, use a structure like: Challenge -> Your Role/Approach -> Solution/Structure -> Outcomes -> Learnings. For process improvements, follow a similar problem-solution-impact framework.

• Tailor to Cognite: Research Cognite's industry, products (Cognite Data Fusion), and "Mission Moonshot." Frame your experience and examples in a way that demonstrates how you can contribute to their specific goals and challenges in industrial digitalization.

Challenge Preparation:

• Deal Structuring Scenarios: Practice analyzing hypothetical enterprise SaaS deals. Consider pricing models, contract terms, service components, and potential risks. Be ready to propose creative solutions that optimize for ARR, margin, and scalability.

• Margin Governance & Compliance: Prepare to discuss how you would identify and mitigate revenue leakage, ensure pricing integrity, and adhere to compliance standards like ASC 606 in deal structuring.

• Cross-Functional Communication: Rehearse how you would explain complex commercial terms and trade-offs to different stakeholders (e.g., a sales rep vs. a finance controller vs. a product manager).

• AI Tool Application: Be ready to discuss how you would approach using AI for proposal review, contract analysis, or automating deal governance processes.

📝 Enhancement Note: The application process is designed to test strategic acumen, analytical skills, and practical experience in complex deal structuring. The portfolio review is a critical component, requiring tangible evidence of past success and strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Salesforce (SFDC): Essential for CRM, deal tracking, data hygiene, and auditing. Deep proficiency is expected for managing and analyzing sales pipeline and contract exceptions.

• CPQ (Configure, Price, Quote) Tools: Experience with CPQ systems (e.g., Salesforce CPQ, Apttus, Oracle CPQ) is crucial for designing and implementing structured discounting guardrails and automated proposal generation.

• Generative AI Tools: Proficiency in or a strong aptitude for leveraging advanced AI and LLM-based tools for tasks such as automated proposal review, contract analysis, SLA scanning, and identifying non-standard liabilities or revenue recognition risks.

• Business Intelligence (BI) / Analytics Tools: Tools like Tableau, Power BI, or similar platforms may be used for creating margin-impact models and executive dashboards.

Analytics & Reporting:

• Data Analysis Tools: Proficiency in analyzing large datasets to identify trends, risks, and opportunities within deal pipelines and commercial structures.

• Reporting Software: Ability to generate clear, concise reports and dashboards for executive stakeholders, summarizing deal performance, margin impact, and compliance status.

CRM & Automation:

• CRM Systems: Deep understanding of how CRM systems (primarily Salesforce) support the entire sales and revenue operations lifecycle, from lead to close.

• Automation Platforms: Experience in designing and implementing automated workflows, prompts, or templates to streamline deal processes and enhance GTM team efficiency.

• Integration Knowledge: Understanding of how different systems (CRM, CPQ, ERP, Contract Management) integrate to ensure data consistency and process flow.

📝 Enhancement Note: The technology stack highlights a modern approach to Revenue Operations, heavily integrating CRM and CPQ with cutting-edge AI tools for efficiency and governance. Salesforce and GenAI are particularly emphasized.

👥 Team Culture & Values

Operations Values:

• Relentless Drive & Ownership: A core value at Cognite, encouraging individuals to tackle difficult challenges head-on and take full responsibility for outcomes. This translates to a proactive approach in deal design and problem-solving.

• Innovation & Speed: The company operates at the forefront of industrial digitalization and AI, valuing rapid execution and the adoption of new technologies (like GenAI) to achieve ambitious goals ("Moonshot").

• Data-Driven Approach: Emphasis on "pristine data hygiene" and building "predictable executive margin-impact models" underscores a commitment to using data for informed decision-making and strategic planning in commercial operations.

• Collaboration & Cross-Functionalism: The role requires close partnership across Sales, Finance, Legal, and Product, indicating a culture that values and necessitates strong interdepartmental communication and teamwork to achieve complex objectives.

• Efficiency & Scalability: A key objective is to "create leverage" and make the GTM team "significantly more autonomous and effective," reflecting a value placed on operational efficiency and the ability to scale processes.

Collaboration Style:

• Strategic Partnership: The Deal Design Manager acts as a "Trusted Commercial Advisor," fostering a collaborative relationship with sales teams based on expertise and mutual respect.

• Principled Negotiation: The role involves constructively challenging deviations and negotiating terms to optimize outcomes, requiring a style that is assertive yet collaborative, aiming for win-win solutions that align with Cognite's commercial interests.

• Process Review & Feedback: A culture of continuous improvement is implied, where processes are regularly reviewed, optimized, and potentially redesigned using AI, encouraging feedback loops and iterative development.

• Knowledge Sharing: The mandate to create "self-service, reusable assets" and "establish repeatable playbooks" suggests a culture that promotes knowledge sharing and empowerment across the GTM and operations teams.

📝 Enhancement Note: Cognite's culture emphasizes high performance, innovation, and collaboration. The Deal Design Manager role is central to enabling this by providing sophisticated commercial expertise and driving efficiency through technology and optimized processes.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Complex Requirements: The primary challenge will be to translate intricate industrial data integration needs and customer-specific requests into commercial packages that are both attractive to clients and profitable/scalable for Cognite, especially where no clear precedent exists.

• Navigating Internal Stakeholder Alignment: Orchestrating approvals across Legal, Finance, Product, and Executive teams for complex, non-standard deals requires strong influencing skills and the ability to clearly articulate trade-offs and risks.

• Leveraging Emerging AI Tools: Effectively deploying, calibrating, and integrating new Generative AI tools into established commercial governance processes presents an ongoing challenge, requiring continuous learning and adaptation.

• Maintaining Data Hygiene & Governance: Ensuring "pristine data hygiene" in Salesforce and robust governance across a high volume of enterprise deals requires persistent attention to detail and process enforcement.

Learning & Development Opportunities:

• Deep Dive into Industrial AI & DataOps: Gain unparalleled experience with Cognite's cutting-edge industrial digitalization and AI solutions, understanding their value proposition and commercial implications.

• Advanced Deal Structuring & Negotiation: Hone skills in architecting complex, multi-faceted enterprise SaaS deals, including exploring innovative pricing and licensing models.

• GenAI Implementation in Commercial Operations: Develop expertise in applying Generative AI to real-world commercial challenges, becoming a leader in this emerging field within enterprise sales.

• Cross-Functional Strategic Influence: Enhance leadership capabilities by influencing critical decisions across multiple departments and at executive levels.

• Mentorship and Team Development: Opportunity to mentor junior team members and contribute to building scalable playbooks and training modules, fostering a culture of operational excellence.

📝 Enhancement Note: The challenges are inherent to a senior, strategic role in a fast-paced, innovative company. The growth opportunities are substantial, offering deep specialization in a high-demand field and significant career progression potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you architected a complex enterprise SaaS deal with no clear precedent. What was the customer's need, what were the commercial challenges, what structure did you propose, what trade-offs did you consider, and what was the ultimate outcome for both the customer and Cognite?" (Focus on your process, analytical rigor, and ability to balance competing interests).

• "How would you approach building a 'first-pass' AI-driven review process for enterprise software proposals to identify non-standard liabilities and revenue recognition risks?" (Demonstrate your understanding of GenAI capabilities and commercial governance).

• "Imagine a sales team wants to offer a significant discount on a large SaaS deal. How would you analyze this request, what factors would you consider, and how would you advise them while protecting Cognite's margins and ARR goals?" (Showcase your analytical skills, financial modeling approach, and ability to influence sales). Company & Culture Questions:

• "What do you know about Cognite's 'Mission Moonshot' and our focus on industrial digitalization? How does this role contribute to achieving those ambitious goals?" (Research Cognite's vision, products, and market position).

• "How do you foster collaboration between Sales, Legal, and Finance when structuring complex deals, especially when there are differing priorities?" (Highlight your cross-functional leadership and negotiation skills).

• "Describe your experience with Salesforce and CPQ. How have you used these tools to improve operational efficiency, data hygiene, or deal governance?" (Be specific about your technical skills and impact). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly state the problem, your role and approach, the solution you designed, the specific metrics of success (quantify ROI!), and key learnings. Use a template that mirrors the job description's emphasis on Commercial Architecture, Margin Governance, and Cross-Functional Orchestration.

• Quantify Everything: Prepare to discuss the specific financial impact of your work. Use numbers for ARR, margins, deal cycle times, efficiency gains, etc. Be ready to explain your calculations.

• Highlight AI/Tech Use: If you have examples of leveraging AI or automation, dedicate a portion of your presentation to explaining the technology, your implementation, and the resulting benefits.

• Be Ready for Deep Dives: Anticipate detailed questions about your examples. Know the nuances of the deals, the specific clauses, the financial models, and the stakeholder dynamics.

• Connect to Cognite: Throughout your presentation, subtly link your experiences and skills to Cognite's industry, products, and stated goals.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, analytical depth, practical experience in complex deal structuring, and a forward-looking approach to leveraging technology like GenAI within revenue operations.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Cognite careers portal via the provided link.

• Curate Your Portfolio: Select 2-3 of your most impactful deal structuring case studies and process optimization examples. Ensure they clearly demonstrate your ability to architect commercial solutions, govern margins, and drive efficiency, quantifying the ROI for each.

• Optimize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in this job description, such as "Commercial Architecture," "Deal Desk," "SaaS," "Revenue Operations," "Salesforce," "GenAI," "Margin Governance," and "Cross-Functional Leadership." Quantify your achievements wherever possible.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on clear storytelling, precise metrics, and demonstrating how your experience aligns with Cognite's strategic objectives. Be ready to discuss your approach to hypothetical deal scenarios.

• Research Cognite: Thoroughly understand Cognite's AI for Industry focus, their products (Cognite Data Fusion), their "Mission Moonshot," and their company culture. Be prepared to articulate how your skills and experience will directly contribute to their success.

⚠️ 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.