
Cambridge Consultants · United States
OVERVIEW Cambridge Consultants (CC) is in the business of delivering the future, faster. We are a technology innovation partner that excels at solving the worl...
Cambridge Consultants (CC) is in the business of delivering the future, faster. We are a technology innovation partner that excels
at solving the world’s most complex engineering challenges. As our North America business rapidly expands, we are seeking a
Techno-Commercial Leader for our Energy and Industry team—someone who operates at the intersection of deep technology and
commercial strategy.
This unit is at the forefront of Industry 4.0. We don’t just design circuits; we build complex, intelligent systems that create
fundamental, defensible business value for our clients. We are looking for a leader who can act as a “second CTO” to our
clients—bridging their boardroom ambitions to the reality of complex R&D in embedded software, electronics, and hardware systems
to drive the commercialisation of world-first technologies. If you are wired to challenge client assumptions, define what gets
built and why, and turn embedded systems expertise into competitive advantage, this role is for you.
We are searching for a T-shaped leader with a CTO mindset—someone whose deep roots in embedded software and electronics give them
the credibility to set technical direction, and whose commercial instincts ensure that direction creates real business value. You
will not be the primary Subject Matter Expert (SME) writing the firmware or laying out the PCB; instead, you will own the
strategic question of what the system should do and why it matters to the client’s business—ensuring our teams are building the
right thing, effectively and efficiently.
directly supports their commercial goals. You have the credibility and confidence to advise a client to pivot their technical
strategy when new realities emerge—before sunk cost sets in.
opportunities. You help design technical roadmaps that elevate the client’s market position—proposing novel embedded solutions
that create defensible competitive advantage, and helping structure the commercial terms that reflect the value being created.
interrogate client assumptions. You partner with clients to reframe their requests based on technical reality—protecting their
investment by ensuring the system architecture is sound before significant capital is committed.
requirements are unknown or shifting. You translate extreme complexity—firmware constraints, hardware–software trade-offs,
silicon maturity—into digestible commercial risk that gives client executives the confidence to make bold bets on unproven
technologies.
innovation. You help shape the technical direction of our Energy and Industry practice—identifying where advances in edge
compute, connectivity, and intelligent control create genuine new value for clients, and building the business case to pursue
them.
Your success is measured not by on-time delivery, but by client capability lift, strategic alignment, and the successful
commercialisation of breakthrough technology. You will have opportunities to drive innovation across CC’s diverse market sectors,
from industrial automation and energy to healthcare and beyond.
hardware–software integration, real-time systems, and connected device design—using a 1st principles approach to transform
complex problems into viable solutions.
the commercial outcome were inseparable. You set direction, manage client expectations at the executive level, and know when to
challenge the brief rather than execute it.
decision matters to the client’s bottom line, their future valuation, or their competitive position—and can identify
shared-risk partnership opportunities that extend the relationship beyond fixed-scope delivery.
value lies in the intelligence—control algorithms, connectivity, edge compute, and sensing—as much as in the physical design.
You can articulate that value in commercial terms, not just engineering ones.
boardroom-level commercial risk—while retaining the credibility and respect of deep technical SMEs. You engender the trust that
allows clients to make bold bets on unproven technology.
Cambridge Consultants is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected
veteran status and will not be discriminated against on the basis of disability. Equal Employment Opportunity Posters
If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email
usjobseekersupport@cambridgeconsultants.com. If you have a disability and you believe you need an accommodation in order to search
for a job opening or to submit an online application, please e-mail usjobseekersupport@cambridgeconsultants.com. This email is
created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages
left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical
issues not related to a disability, will not receive a response.
Successful applicant must comply with the federal contractor Covid-19 Workplace Safety mandate requirements.
Benefits
By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together
with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that
any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment
process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge
that the organisation reserves the right to verify the information supplied.
SLSQ426R506 Mission The Product Adoption Architect drives financial performance and field effectiveness for a Databricks’ product line. They will work closely with PMs teams and GTM teams to lay out the playbook, focus and execution on GTM actions for product priorities. They set the requirements and vision for product plays that can be amplified across the entire Field. Adoption Architects also works with product management to collect signals from the field and establish product-market-fit. They triage product escalations and represent the field perspective on strategic decisions. The adoption architect works with field leaders to create a strategy to hit their product specific targets, and create a community of embedded product leads (EPLs) across the field to drive behavior and accountability at the ground level. Outcomes * Create the strategy and definition of scalable, repeatable Product Programs. * Establish global plays (deliverables, resources, tracking, program management) that enable business units to execute plays and drive product line adoption. * Partner with BU leaders and EPLs to drive adoption of these programs and achieve meaningful $DBUs. . * Credibly partner with the PM to align roadmaps with play objectives and markets. * Prioritize customer blockers to maximize field impact of product development. * Proposed Metrics: * Measure 1: Product Line $DBUs at a company level and BU level. Competencies & Responsibilities * 10+ years of experience in the data analytics space to understand and prioritize product capabilities * Proven trusted advisor to technical executives that drive strategic data decisions. * Operationally minded and ability to design at a system level * Strong execution and ability to drive to outcomes in the face of ambiguity * Strong leadership skills - ability to coordinate with various roles across GTM and R&D that contribute toward product line adoption. 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 $264,000—$363,000 USD Zone 2 Pay Range $264,000—$363,000 USD Zone 3 Pay Range $264,000—$363,000 USD Zone 4 Pay Range $264,000—$363,000 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.
We seek a seasoned technical leader for the Sr. Director of Field Engineering (Lakebase) position for North America. In this role, you will lead a leadership team managing technical field practitioners covering the end-to-end Databricks customer journey from Pre-Sales to Go-Live. Your teams will be accountable for driving the technical/business wins for the Databricks platform as well as accelerating the consumption of the Databricks platform, and driving workloads to production for all customers in your segment. Hiring, coaching, and motivating the team to success will be critical. Req ID: FEQ327R205 The impact you will have: * You will report to the Americas Enterprise Field Engineering Leader and take full ownership and accountability for the global Lakebase Field Engineering organization scaling to over 50 SAs. * Tight alignment with Global Lakebase Sales leader to define and operationalize Lakebase GTM strategy coupled with resource prioritization and distribution. * Build a collaborative culture within a rapid-growth team. You will manage and mentor leaders and recruit talent focusing on inclusivity and resilience. * Rapidly scale the Field Engineering Lakebase team while maintaining an exceptionally high bar for talent and hiring at pace. * Drive a consistent, thorough management operating rhythm to review KPIs specific to a high-velocity database launch (developer adoption, production migration velocity, application launch timelines, and low-latency workload success). * Serve as a thought leader, consulting with strategic customer and partner contacts to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account. * Build Databricks' brand as a world-class operational database vendor with global GTM teams, positioning Lakebase as the definitive storage layer for modern data apps and AI agents. What we look for: * 10+ years of experience in building and scaling technical pre-sales and Customer Delivery teams. * Experience in scaling and mentoring field and technical teams, managing both in-person and remote working models. * Experience working with accounts - from Growth/Net New to Large and Complex accounts generating +$1M ARR. * Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in the database market. * Deep technical competence in operational databases (PostgreSQL/OLTP), application development paradigms, real-time data streaming, application APIs, and AI/ML state frameworks (like vector search extensions or agentic workflows), alongside a strong understanding of core Lakehouse architecture. * Experience instituting processes for technical field members to improve operational efficiency. * Organizational leadership, with an ability to attract, develop, and retain talent. * Ability to operate in a rapidly changing, ambiguous environment, while delivering results in the near term and building for durable, long-term growth. * As this is a global team, need to be open to a minimum travel expectation of 30%. 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.
The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based out of North America. A STRONG CANDIDATE FOR THIS POSITION WILL HAVE: * Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments * Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL * Experience with tools and methodologies for code analysis, refactoring, and automated testing * Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance * Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI * Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions * Experience in leading the design and development of complex workflow for AI model integration and output processing. * Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity * Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset POSITION EXPECTATIONS * Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation * Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow * Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team * Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP SUCCESS MEASURES WITHIN THE FIRST THREE MONTHS, YOU WILL HAVE: * Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications * Established yourself as the technical leader within the team, actively driving technical decisions * Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables WITHIN SIX MONTHS, YOU WILL HAVE: * Successfully led the team to deliver a prototype or initial release of a major feature for code transformation * Contributed to and helped define and scope roadmaps for code gen deliverables * Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs WITHIN 12 MONTHS, YOU WILL HAVE: * Become recognized as the go-to technical expert for code gen domain * Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams * Played a crucial role in helping recruit, interview and mentor new team members 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: 425546 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: $137,000—$270,000 USD