Jobiba hiring network

Forward Deployed Analytics Engineer Jobs

4,223 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current forward deployed analytics engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

CSQ427R89 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, an

pythonjavasql
View job →
D
Databricks
📍 San Francisco• $219.8K – $302.2K/yr
29 days ago

CSQ427R137 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

pythonjavasql
View job →
D
29 days ago

CSQ327R211 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

pythonjavasql
View job →
D
29 days ago

CSQ327R215 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

pythonjavasql
View job →
D
29 days ago

CSQ327R212 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

pythonjavasql
View job →
D
Databricks
📍 Washington• $219.8K – $302.2K/yr
29 days ago

CSQ327R214 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

pythonjavasql
View job →

P-1577 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. You will 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 Datab

javascripttypescriptpython
View job →
SA
Scale AI
📍 United States• Full-time• $252K – $362K/yr
6mo ago

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. Define technical strategy for agentic guardrails, explainability, and fleet orchestration. Ensure system reliability and performance across multiple security classifications and network types. Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance. Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members. Influence the long-term product strategy and technical roadmap for the Federal business unit. Consult on the architecture of AI-powered solutions for large-scale federal contracts. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in

awsazuregcp
View job →
SA
Scale AI
📍 United States• Full-time• $216K – $311K/yr
6mo ago

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

awsazuregcp
View job →
SA
Scale AI
📍 United States• Full-time• $180K – $259K/yr
39mo ago

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

awsazuregcp
View job →

As a Manager in our ISV Practice, you will lead a team of Forward Deployed Engineers working directly with independent software vendors (ISVs) and their engineering organizations. The team builds MongoDB capabilities inside partner products and turns successful engagements into reusable patterns for future partner engagements. You will lead the people, priorities, and operating model that enable the team to deliver production-oriented solutions with partners. This role combines people leadership, technical judgment, partner engagement, and cross-functional execution. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead, coach, develop, hire, onboard, and retain a team of Forward Deployed Engineers while creating a high-performing and inclusive engineering culture Set priorities and allocate capacity across multiple partner engagements, enabling the team to work effectively in parallel Establish a repeatable engagement model from qualification through build, validation, documentation, and handoff, ensuring partners provide the context, access, technical counterparts, and release path needed for delivery Guide the team in building production MongoDB integrations, application capabilities, migration approaches, deployment patterns, and operational guidance while maintaining a high bar for quality, readiness, security, performance, observability, resilience, and supportability Ensure engagements produce reusable architectures, implementation patterns, tooling, documentation, and lessons learned that accelerate future partner engagements and benefit the wider organization Coordinate with Solutions Architecture, Solution Validation, Technical Services, Sales, Product, Engineering, and partner stakeholders on scope, ownership, technical contribution, validation, handoff, escalation, and support boundaries Engage directly with strategic partners when senior technical or leadership involvement is needed

mongodbawsazure
View job →

CSQ327R248 Location: New Zealand As a Technical Program Manager, you are instrumental in advancing our Forward Deployed Engineering team's mission, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly navigate the balance between delivering outstanding results and aligning with the commercial objectives of the Forward Deployed Engineering organization. Your leadership and strategic insight will contribute directly to our clients' success and the growth of our business. The impact you will have: You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous projects, ranging from a single individual for 2-3 weeks to 6-month engagements of multi-person teams Serve as a trusted advisor to senior customer stakeholders, driving clarity, alignment, and confidence through all stages of delivery Shape the success of engagements by proactively managing risks, aligning cross-functional teams, and ensuring customer outcomes are met or exceeded Ensure accurate reporting on projects and keep all relevant parties up-to-date with project activity and success Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders What we look for: Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million Ability to engage, influence, and buil

awsazuregcp
View job →

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. This role sits within GTM Enablement, part of the broader Customer Solutions & Applied AI organisation responsible for turning Aircall's AI Voice Agent (AIVA) and AI Messaging Agent (AIMA) into adopted, well-understood products across the business. GTM Enablement works alongside Forward Deployed Engineering, Solutions Engineering, Customer Engineering, Product Support, and Number Operations, globally across EMEA, AMER, and APAC. This is a new, dedicated enablement role created to keep the field cur

artificial intelligenceairecruitment
View job →

CSQ128R175 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 developm

A
Anthropic
📍 Ca New York City• $270K – $310K/yr
21 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership

sqlaisalesforce
View job →
🔔

Get new forward deployed analytics engineer jobs by email

Daily job updates · Unsubscribe anytime