
Databricks · Central - United States; Northeast - United States; Southeast - United States
CSQ427R47 At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us wi...
At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our
customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine
learning landscape for leading Fortune 500 organizations.
Forward Deployed Engineering (FDE) Delivery Partner Manager supports the mission of the FDE team, which is to accelerate and
de-risk our customers' business outcomes through effective enablement and delivery of Databricks platform technology. This is an
individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with
key system integrators to effectively co-deliver Databricks services engagements.
team to support bi-directional pipeline review and bi-directional engagements (subcontracting, and advisory) for company
priorities.
scorecards to supplement partner selection with a data driven approach.
scorecards and feedback loops to segment partners by focus areas, regions and company priorities.
global programs to measure partner quality such as CSAT, Partner Survey and program governance.
channel teams to enable GSIs, RSIs, SIs on Assurance services, and support bi-weekly reviews and deal governance
to achieve Databricks projects following best practices. Champion and provide thought leadership for specialization programs.
You will implement and lead programs for achieving requirements and exceeding delivery quality.
across Databricks customer deliveries.
ensuring partner resource availability in a timely manner to support Databricks services opportunities.
and working with the partner closely to ensure project success.
negotiations
and driving engagements with large enterprise organizations with a focus on FDE
requirements as they relate to technology.
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
Zone 2 Pay Range
Zone 3 Pay Range
Zone 4 Pay Range
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.
CSQ227R88 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * 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. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * 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 Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * 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 $182,000—$250,208 USD Zone 2 Pay Range $182,000—$250,208 USD Zone 3 Pay Range $182,000—$250,208 USD Zone 4 Pay Range $182,000—$250,208 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.
ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: We are looking for a Sr Technical Program Manager (TPM) to lead high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle from scoping and planning through go-live and hypercare, working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications. AREAS OF OWNERSHIP: Project Ownership & Delivery * Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality). * Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit. * Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile. * Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams. * Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log. Customer & Stakeholder Management * Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders. * Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews. * Translate technical complexity into clear business impacts for executive stakeholders. * Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. Cross-Functional & Pod Coordination * Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability. * Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning. * Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations. * Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths. Methodology & Process Discipline * Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects. * Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs). * Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan. Metrics & Reporting * Define and track deployment KPIs, such as: * Time to Blueprint, Time to First Agent in UAT, Time to Go-Live * Milestone On-Time Rate * Defect and incident trends during QA/UAT and Hypercare * Report delivery status, risk posture, and mitigation plans to internal and external stakeholders. * Contribute data to capacity and utilization models to inform planning and staffing. WHO YOU ARE: * +3 years of experience in technical project management, program management, or delivery management for SaaS or enterprise software. * Hands-on experience delivering solutions involving at least one of: * Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms. * Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners). * Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each. * Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro). * Excellent communication, facilitation, and conflict resolution skills. * Proven track record managing multiple concurrent projects with global, distributed teams. * Fluency in English & French is required NICE TO HAVE: * Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions. * Background in professional services or consulting working with enterprise clients. * Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP). * Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent. * Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems). OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
CSQ327R193 As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact. This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments. THE IMPACT YOU WILL HAVE * Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership. * Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing. * Integrate services into platform deals, ensuring customers achieve measurable business outcomes. * Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations. * Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success. * Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services. * Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor. * Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations. * Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption. WHAT WE LOOK FOR * Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes. * Deep industry expertise with the ability to “speak the language” of customers and demonstrate relevant use cases. * Extensive experience in Professional Services sales and delivery leadership, ideally in the Data & AI domain. * Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements. * Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes. * Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders. * Travel to customers 20% of the time. 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.