Lead GTM Enablement & Scale Architect, Product Enablement

Sr. Technology Partner Director, Business Applications

Databricks

RDQ427R507 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems by partnering with the ISVs that drive innovation across every line of business. We enable our partners to bring deep intelligence into the critical workflows their customers rely on every day, from delivering real-time CRM behavioral insights to optimizing complex HR workforce planning. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 8,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 move valuable private companies. As the Partner Development Manager, Business Application Partnerships, you will be responsible for developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to run data-and-AI-intensive workloads central to core enterprise Line of Business operations. You will build and own strategic partnerships with a set of top ISVs across CRM/CSM, HCM, Finance, ERP — building joint solutions, co-creating joint GTM plays, and helping our field and customers realize the value of combining Databricks with leading Business Application partners. The impact you will have: We are looking for someone who has previously managed Business Application ISVs at a hyperscaler or worked at a leading Business Application ISV. The role demands both technical and GTM acumen — able to work with Product and Engineering teams on integrations, as well as with Sales and Marketing teams on go-to-market execution. It is a fast-paced, cross-functional role requiring strong communication, prioritization, and presentation skills, and the ability to quickly context-switch between product, engineering, and field conversations. Success will require deep subject matter expertise in large-scale technology ecosystems, coupled with a scrappy, entrepreneurial spirit to build partnerships that establish Databricks as the best place to run Business Application workloads for years to come. * Build and own comprehensive, end-to-end partnership business plans for a portfolio of top-tier ISVs, integrating GTM strategies, product innovation roadmaps, and marketing initiatives to deliver measurable business outcomes. * Lead the end-to-end lifecycle of top ISV partnerships in the Business Applications category, from joint business planning to solution development and execution.  * Drive enablement and field readiness to ensure both Databricks and partner teams can effectively position and deliver these joint offerings. * Serve as the internal voice of top partners in category, collaborating with Product, Sales, and Marketing leadership to influence our roadmap and ensure our strategy addresses the evolving needs of the Business Application landscape. What we look for: * 7+ years in product partnerships, business development, or partner management, including 5+ years focused on Business Applications or cloud ecosystems. * Proven success launching ISV integrations and GTM motions in Business Applications with hyperscalers * Deep understanding and network across Business Application ecosystems — CRM/CSM, HCM, Finance, ERP, and related workflows, and ability to develop joint value propositions that resonate with technical and business decision-makers alike. * Strong cross-functional leadership skills — able to influence Product, Engineering, Sales, Marketing, and Business Operations teams. * Experience navigating co-opetition dynamics and sensitive partner relationships. * Excellent written, verbal, and presentation skills  * Grit, humility, and the ability to operate in a high-growth, founder-led environment.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $178,800—$245,850 USD   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $161,000—$221,300 USD   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 3 Pay Range $152,000—$209,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Sr. GSI Partner Specialist Solutions Architect

Databricks

FEQ327R144 As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C&SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy. The impact you will have: * Strategic Technical Partnership: Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues. * Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment. * Customer Deal Support: Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. * Partner Ecosystem & Events: Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.  * Product Feedback: Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy. What we look for: * 8+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager * Track record of successfully partnering with Global C&SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery * Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering & IT teams, and more * Strong presentation & technical communication skills with technical and business stakeholders * Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science * Excitement to engage in cross-organizational collaboration, working through trade-offs, and balancing competing priorities * A love of teaching, mentoring, and helping others succeed * Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing AI systems * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $219,100—$301,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Engineer 3, Business Systems (CPQ)

Mongodb

ABOUT TEAM The CRM Technologies Team plays a critical role in optimizing our sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce and Quote-to-Cash technologies, the team ensures that business users have the tools, automation, and operational support needed to effectively manage quoting, pricing, approvals, and downstream business processes. With deep expertise in Salesforce development, CPQ, integrations, and platform operations, the team continuously enhances the CRM ecosystem to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Finance, Deal Desk, and Engineering to deliver scalable, secure, and reliable Quote-to-Cash solutions. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. ROLE OVERVIEW We are looking for a CPQ Engineer III to design, build, and support core capabilities in our Configure–Price–Quote (CPQ) stack that power how our GTM teams sell and price MongoDB offerings. As a senior individual contributor, you will own end-to-end delivery of features across configuration, pricing, discounting, approvals, and quote generation, working closely with Product, Deal Strategy, RevOps, and Sales. You will translate business requirements into high-quality technical solutions on Salesforce CPQ and related platforms, spanning configuration, custom development (Apex/LWC/Flows), and integrations with downstream systems. This role is hands-on and delivery-focused: you will be responsible for implementing well-structured, testable solutions, improving performance and reliability of existing CPQ flows, and contributing to shared patterns, frameworks, and best practices within the CPQ & RevOps engineering team. WHAT YOU’LL DO * Design, build, and support Salesforce solutions across product modeling, pricing, quoting, approvals, amendments, and renewals * Configure and enhance CPQ capabilities including product rules, price rules, bundles, product options, quote templates, discounting, and approval workflows * Partner with Sales Operations, Revenue Operations, Finance, and Deal Desk to understand requirements, identify process gaps, and deliver scalable business solutions * Develop and maintain Salesforce solutions using Apex, Lightning Web Components, Flows, SOQL, and platform APIs to support related processes * Build and support integrations between Salesforce and external systems such as ERP, billing, payment, contract, and other enterprise platforms * Participate in technical design, story grooming, sprint planning, testing, code reviews, release management, and production deployments * Troubleshoot and resolve issues across CPQ configuration, pricing logic, automation, integrations, and system performance * Support documentation, UAT, regression testing, and user enablement to improve adoption and platform reliability * Ensure solutions align with security, data governance, and Salesforce platform best practices * Leverage AI-powered engineering tools such as Cursor, Claude Code, Agentforce, GitHub Copilot, and similar capabilities to improve productivity, analysis, troubleshooting, and documentation, while using sound judgment around security, accuracy, and responsible AI usage RESPONSIBILITIES * Technical Delivery: Translate complex business strategies into scalable technical solutions on Salesforce CPQ, utilizing a mix of declarative configuration and custom development (Apex, LWC, and Flow) * System Architecture: Design and implement robust integrations between CPQ and downstream systems (ERP, Billing, Telemetry) to ensure data integrity across the Lead-to-Cash lifecycle * Engineering Excellence: Drive high standards for code quality by implementing testable, modular solutions and contributing to shared frameworks and CI/CD best practices * Performance Optimization: Proactively identify and resolve bottlenecks in existing CPQ flows, improving calculator speed and user experience for a global sales force * Mentorship & Influence: Lead peer code reviews and contribute to the team’s technical playbook, fostering a culture of continuous improvement within the CPQ & RevOps engineering organization MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience * 6+ years of Salesforce development experience, including strong hands-on expertise in the Salesforce platform * Good understanding of Quote-to-Cash processes, sales workflows, and Salesforce best practices * Hands-on experience with Apex, Lightning Web Components, Flows, SOQL, and REST/SOAP APIs * Experience with product modeling, pricing rules, quoting workflows, approvals, amendments, and renewals * Experience integrating Salesforce with external systems such as ERP, billing, payment, or other enterprise platforms * Familiarity with Agile/Scrum, CI/CD, version control, and Salesforce release practices * Strong understanding of Salesforce security, data governance, and implementation best practices * Strong analytical, troubleshooting, communication, and collaboration skills * Salesforce CPQ Specialist and Salesforce Platform Developer I or II certifications required PREFERRED QUALIFICATIONS * Working knowledge of Salesforce Billing and its underlying data model * Experience with Salesforce DX, Copado, Gearset, Git-based workflows, or similar DevOps tooling * Familiarity with Visualforce, HTML, JavaScript, and CSS * Experience preparing training materials, supporting UAT/regression testing, and guiding business users through solution adoption * Practical familiarity with AI-powered and agentic tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them thoughtfully to improve delivery speed, analysis, documentation quality, and engineering effectiveness SUCCESS MEASURES * In 3 months, you will: Develop a strong understanding of MongoDB’s CPQ implementation, product and pricing structure, Quote-to-Cash flows, and stakeholder processes * In 6 months, you will: Successfully deliver meaningful enhancements across Salesforce CPQ, support key pricing and quoting workflows, and become a dependable contributor to ongoing QTC initiatives * In 12 months, you will: Become a trusted technical SME for Salesforce CPQ and related Quote-to-Cash processes, helping drive scalable improvements across pricing, approvals, renewals, amendments, and downstream integrations ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273466769 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $101,000—$198,000 USD