• Architect end-to-end Services solutions aligned to customer requirements and IIS strategic objectives • Design service offerings across the lifecycle, including warranty, extended warranty, support, break/fix, onsite, remote, and managed service constructs • Develop detailed cost models for Services offerings, including labor, parts, logistics, overhead, and risk assumptions • Lead customer-facing solution discussions for complex Services opportunities • Act as a trusted advisor to both customers and internal stakeholders • Lead or significantly contribute to Statement of Work (SOW) development for Services engagements • Partner with IIS leadership to improve services quoting, pricing, and approval workflows

Introduction At SymphonyAI Industrial, we are transforming the way industrial organizations leverage AI to unlock innovation, optimize performance, and enable sustainable growth. We are seeking an accomplished and dynamic Director of Sales to drive our go-to-market strategy and accelerate revenue growth across the Industrial sector. This is a unique opportunity to lead, shape, and scale our presence with key enterprise customers in one of the world’s most critical industries. Job Description What you will do - Develop, own, and execute the sales strategy for SymphonyAI Industrial’s solutions across the USA region. - Identify, engage, and build deep, trusted relationships with senior executive stakeholders and decision-makers at leading industrial organizations. - Own the full sales cycle—from prospecting and lead generation to solution qualification, proposal development, negotiation, and closing. *Please note this is an individual contributor role. - Partner with internal teams (Product, Marketing, Customer Success, and Solution Engineering) to tailor value propositions, drive customer engagement, and ensure successful onboarding and long-term adoption. - Leverage your domain expertise to understand customer business drivers and articulate how SymphonyAI Industrial’s AI-powered solutions deliver transformative value. - Accurately forecast sales performance, maintain detailed records in CRM, and deliver regular updates to leadership on progress, pipeline, and market trends. - Represent SymphonyAI Industrial at industry events, conferences, and customer meetings, acting as a thought leader and brand ambassador for AI innovation in industrial operations. - Mentor and support the broader sales organization, contributing to a collaborative, high-performance culture focused on growth and customer success. What you will bring to SymphonyAI - Demonstrated success in enterprise SaaS sales, with a strong track record of exceeding multi-million-dollar quotas and penetrating complex Industrial accounts. - Established network of executive-level contacts in the USA region. - Deep understanding of industrial workflows, digital transformation initiatives, and how AI/analytics technologies are shaping the future of the energy industry. - Proven ability to navigate and drive enterprise sales cycles, negotiate agreements, and build long-term commercial partnerships. - Strong executive presence and the ability to communicate, present, and influence credibly at all levels, both internally and externally. - Passion for technology innovation, a consultative sales approach, and relentless drive to achieve ambitious goals. Requirements/Qualifications - Bachelor’s degree in Business, Engineering, Computer Science, or related field required; MBA or advanced degree preferred. - 10+ years of enterprise sales experience, with at least 5 years selling SaaS, analytics, or industrial software solutions. - Deep domain knowledge of energy sector operations, digital transformation, and current industry trends is essential. - Technical proficiency related to AI, IoT, analytics platforms, and/or industrial automation strongly preferred. - Experience leveraging CRM tools (e.g., Salesforce) and sales enablement platforms. - Willingness to travel regionally as required to engage clients and attend industry events. #LI-Remote About Us SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and enterprise IT. Since its founding in 2017, SymphonyAI has grown to today serve 2000+ Enterprise customers globally and has grown to 2,500 talented leaders, data scientists, and other professionals across over 30 countries.

CSQ227R87 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: - 9+ years experience in data engineering, data platforms & analytics - Comfortable writing code in either Python or Scala - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Capable of design and deployment of highly performant end-to-end data architectures - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Experience in building scalable streaming and batch solutions using cloud-native components - Travel to customers up to 20% of the time - Nice to have: Databricks Certification 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 base 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 anticipated 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 $180,656—$248,360 USD Zone 2 Pay Range $180,656—$248,360 USD Zone 3 Pay Range $180,656—$248,360 USD Zone 4 Pay Range $180,656—$248,360 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, please visit https://www.mybenefitsnow.com/databricks. 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.

• Own the technical and solution strategy alongside your selling partners, from first discovery call through close. • Partner with AEs to run the full technical sales cycle: discovery, solution design, demo, and close. • Lead consultative discovery to uncover business pain, map processes, and define measurable success criteria. • Build and deliver tailored, outcome-driven demos that connect PandaDoc’s platform to the customer’s actual workflows and CRM ecosystem. • Proactively surface deal risks and objections, and propose clear paths forward. • Develop deep product expertise across document workflows, CPQ, APIs, integrations, and automation. • Build AI-powered workflows and tools that improve your own efficiency and raise the bar for the team.