MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. 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 and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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: 425547

About Wonderschool
Wonderschool’s mission is to ensure every child has access to early childhood education that helps them realize their full potential. We empower small business owners, childcare providers, to launch and grow in-home programs through cutting-edge software, personalized coaching, and responsive support. We also partner with governments to modernize public childcare infrastructure. Our team is small, fast-moving, and deeply motivated by the impact we create in families and communities across the country.

About the Role
We are looking for a Forward Deployed AI Engineer to lead product development on some of the most strategically important initiatives at Wonderschool. You’ll spend your time working directly with customers (traveling as needed), uncovering pain points, and building AI-powered solutions that drive measurable impact across revenue, operational efficiency, and user experience. You’ll act like a founder inside the company: identifying problems, shipping code, driving adoption, and iterating quickly based on what you learn. This role blends engineering, product, operations, and business leadership, and is ideal for someone who has launched products, acquired users, and driven growth independently. You will work closely with our sales, onboarding, and account management teams to automate workflows, build better customer experiences, and unlock new growth.

This role is inspired by best-in-class FDSEs at companies like Palantir and is perfect for builders who love solving real-world problems in the field, not from behind a desk.

What You’ll Do
Work directly with users and internal teams to identify high-leverage problems and ship product solutions. Write production code (approximately 50% of your time) and ship weekly improvements across the customer journey. Use tools like Widesurf, Cursor, and other AI accelerators to increase your velocity and quality of output. Build and deploy AI-powered tooling that eliminates manual effort and improves the experience for providers, parents, and government partners. Automate onboarding flows, proposal generation, reporting processes, and other operational workflows. Own full loops: talk to users, design solutions, write code, test, deploy, and monitor adoption. Prioritize based on business impact and collaborate across teams to drive measurable results.

What Success Looks Like
You uncover user pain points faster than anyone else and consistently ship solutions that address them. You deploy AI-infused internal tools or product experiences that improve core metrics (conversion, retention, revenue). You fully own feedback loops, from discovery to deployment, and iterate rapidly. Internal teams rely on your tools to operate faster and with fewer resources. You’re moving fast, staying close to the customer, and operating with very little hand-holding.

Who You Are
A builder and founder at heart, you’ve started a company, built products that got users, or made revenue independently. Comfortable talking to users weekly and distilling insight into product decisions. Technical enough to ship production code on your own, experience with Python, JavaScript, or similar languages. Experienced using AI/LLMs and developer tools like Windsurf and Cursor to move faster and smarter. Business-minded, you’ve worked in consulting, managed a P&L, or attended business school and know how to prioritize based on ROI. Comfortable operating in ambiguity and energized by a high-trust, high-impact, in-person environment.

Why Join Us
Make a direct impact on families, small business owners, and communities. Operate with founder-like ownership on the company’s most important priorities. Join a small, fast-moving team with a bias for action. Talk to users, ship weekly, and see your work go live and drive real-world outcomes. Help reimagine early education and child care for the modern era.

Why This Role Matters

The Manufacturing Engineer is responsible for evaluating current manual processes and making them more efficient, robust  and reliable through improved instructions, tooling or implementing automation solutions.  This role is ideal for someone with strong factory-floor instincts, who understands how to build things at rate and with an eye towards economics based automation in the real world—not just on paper—and who thrives in a fast-moving, build-focused environment. In this role your work will optimize processes and enable production employees, engineers and scientists across the organization as they bring our demonstration system online.

What You'll Do

• Set-up and analyze manufacturing processes to identify assembly sequence and tooling improvements as well as automation opportunities that reduce labor and increase throughput, capacity, capability, and yield
• Collaborate with design engineering to influence product DFM/DFA (Design for Manufacturability/Automation) to ease automation integration
• Design and develop tools that aid in error free assembly, improve safety and quality
• Write and or edit electronic work instructions for repetitive assembly steps to document the best known practices,  incorporate inspection steps to verify quality, document traceability and data collection steps as needed
• Specify, source, and deploy off-the-shelf or custom automation equipment including conveyors, actuators, robotics, inspection stations, and tooling
• Write and maintain documentation for equipment setup, operation, troubleshooting, and maintenance
• Support process development and initial production, with a focus on root cause analysis and continuous improvement
• Facilitate change management on the facility floor; including manufacturing validation
• Partner closely with area managers, manufacturing technicians, mechanical engineers, and quality to ensure equipment performance aligns with production goals

What You Bring

• Bachelor’s degree in Mechanical Engineering, Mechatronics, Manufacturing Engineering, Industrial Engineering, or related equivalent experience in this field
• 5+ years of experience in manufacturing engineering or automation in a relatable production environment
• Hands-on experience developing and integrating automation equipment, including mechanical and control systems (pneumatics, motion control, sensors)
• Experience with robotic arms (e.g., UR, Fanuc, ABB), end-of-arm tooling, and collaborative automation
• Strong CAD proficiency (e.g., PTC Creo) and ability to design tooling and fixturing
• Demonstrated capability with PLCs, industrial communication protocols, and control systems (e.g., Allen-Bradley, Siemens, Beckhoff, etc.)
• Solid understanding of process validation, process capability, and yield improvement methodologies and dashboard reporting showing system health
• Experience managing external automation integrators or machine builders
• Familiarity with MES, SCADA, or factory data collection tools
• Comfortable operating in an evolving, ambiguous, and cross-functional startup environment

Bonus Points For

• Background in electromechanical product assembly or electronics manufacturing.
• Familiarity with ERP/MRP systems.
• Familiarity with datavis tools and visual factory concepts that use dashboards, IoT data, and visual tools to display real-time facility performance.
• Proficiency with Twincat, Python or similar scripting languages for automation/data acquisition.

Summary

QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads.

Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA’s Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight.

Qualifications

• 5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems.
• Strong background in quantum information science, computational physics, or a closely related quantitative discipline.
• Proficiency in numerical modeling and data analysis using Python or Julia.
• Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models.
• Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.

Preferred Qualifications

• Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
• Experience developing or using abstracted error and performance models to evaluate system- and algorithm-level behavior.
• Prior participation in federally funded research programs (e.g., DARPA, DOE) or large collaborative research efforts.
• Track record of publications or technical contributions related to system-level performance analysis or benchmarking.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Job Summary

Kairos Power is seeking a Director of Product Cost Strategy and Forecasting to lead the development and execution of the company’s product cost architecture and forecasting systems. This leader will own the methodologies, tools, and processes that enable Kairos Power to estimate and forecast the cost of its reactor systems, fuel, salt, and supporting infrastructure with accuracy, transparency, and consistency. These cost insights will directly inform corporate forecasting, pricing, contracting, and investment decisions as the company transitions from demonstration to commercial deployment.

Reporting to the Senior Director of Strategic Initiatives, the Director of Product Cost Strategy and Forecasting will collaborate closely with the Director of FP&A, Cost Accounting Manager, and technical leaders across Engineering, Manufacturing, and Supply Chain. The role requires exceptional cross-functional coordination and the ability to bridge technical, financial, and operational disciplines. The successful candidate will combine strong analytical capability with a practical understanding of engineered systems and manufacturing economics to drive predictable, competitive, and continuously improving product costs across Kairos Power’s programs.

Responsibilities

Forecasting and Methodology

• In close collaboration with cross-functional stakeholders, support and coach the relevant technology teams and cost owners in the development of an enterprise-wide cost forecasting framework that integrates engineering, manufacturing, and financial data to inform planning, pricing, and contracting decisions
• Develop and maintain parameterized cost models across major domains—including salt, fuel, reactor hardware, construction, and shared infrastructure—ensuring transparency, traceability, and consistency in assumptions and data sources.
• Define and document cost estimation methodologies, inputs, and governance processes to ensure alignment with corporate forecasting and investor-facing financial models.
• Establish and manage a regular forecasting cadence synchronized with company planning cycles, enabling leadership to make data-driven investment, pricing, and contracting decisions.
• Work closely with Engineering and other technical cost owners to ensure assumptions are well-documented, realistic, and consistently applied across systems, serving as both a coach and partner in developing cost maturity.

Cross-Functional Collaboration

• Partner with Finance, Accounting, and FP&A to ensure cost forecasts directly inform budgeting, scenario analysis, and long-range financial planning.
• Work with the Cost Accounting Manager to reconcile forecasts against actuals, perform root-cause variance analyses, and refine assumptions based on observed performance.
• Collaborate with Engineering, Supply Chain, and Manufacturing teams to identify and track cost drivers, anticipate future cost impacts, and inform design and sourcing decisions.
• Coordinate with the Strategy team and FP&A to align product cost models with corporate pro forma, techno-economic, and investor-facing analyses.
• Foster strong communication and data-sharing practices across disciplines to ensure a unified understanding of cost structure, risk, and opportunity.

Insights and Decision Support

• Develop learning-curve and scaling frameworks that quantify expected cost improvements across successive product generations and manufacturing expansions.
• Conduct sensitivity and scenario analyses to assess the impact of design changes, production scaling, introduction of new capabilities, and supply-chain dynamics on total cost.
• Analyze cost trends, anomalies, and one-time events to distinguish between structural and transient cost drivers.
• Provide data-driven recommendations to drive cost reduction, operational efficiency, and improved market competitiveness.
• Support internal pricing and contracting discussions by confirming that proposed pricing and commercial terms align with established cost targets and financial assumptions, and by quantifying impacts when they do not.

Reporting and Communication

• Develop and maintain reporting tools that clearly communicate cost forecasts, trends, and key drivers to executive leadership.
• Translate complex cost analyses into concise and actionable insights that support strategic decision-making.
• Prepare and deliver presentations, summaries, and visualizations that convey cost performance, forecast accuracy, and improvement opportunities.
• Ensure cost transparency in internal and customer-facing reporting, including support for cost-plus and open-book contracting frameworks.
• Collaborate with FP&A, Accounting, and Strategy to maintain consistent cost narratives across internal and external communications.

Team Leadership

• Build and lead a small team responsible for product cost forecasting and analysis, providing mentorship, structure, and technical direction.
• Foster a culture of rigor, transparency, and continuous improvement in cost modeling and forecast accuracy, aligned with the Kairos Power culture and mission.
• Establish clear development paths for team members as the cost forecasting function expands to support commercial deployment.
• Collaborate with leaders across Engineering, Finance, and Manufacturing to reinforce shared ownership of cost outcomes and cross-functional problem-solving.
• Encourage innovation in modeling methods, data integration, and visualization to enhance both accuracy and usability of cost information.

Other duties as assigned

Qualifications

• Bachelor’s degrees in Engineering, Corporate Finance or related discipline required; advanced degree in Engineering or Corporate Finance preferred
• 10+ years of experience in cost forecasting, cost engineering, or manufacturing finance, including a minimum of five years in a leadership role
• Experience at a manufacturer or hardware developer within the past five years
• The successful candidate will have a proven track record of developing and managing cost forecasting systems for complex engineered products or large-scale manufacturing programs.
• Strong analytical skills and proficiency in developing detailed cost and financial models are essential.
• The role requires the ability to integrate technical, operational, and financial data to support decision-making, along with exceptional communication skills and experience presenting to executive stakeholders.
• Familiarity with ERP systems such as NetSuite or Oracle and advanced Excel modeling capability are expected.
• Candidates must be comfortable operating in a fast-paced, cross-functional environment and managing multiple priorities simultaneously.
• An advanced degree in business administration, engineering, data science, economics, or a related field is preferred.
• Candidates with extensive experience leading progressively responsible roles in cost estimation, product cost management, or manufacturing economics will be strongly preferred, particularly those who have built or scaled cost forecasting functions in complex manufacturing or capital project environments.
• Experience in clean energy, aerospace, advanced manufacturing, or other capital-intensive project environments is highly valuable.
• Knowledge of cost accounting principles, variance analysis, and open-book or cost-plus contracting models is preferred.
• Familiarity with learning-curve modeling, sensitivity analysis, and cost scaling methodologies is an advantage.
• Proficiency with data analysis and visualization tools such as Python, Power BI, or Tableau is desirable.
• Candidates with demonstrated success leading cross-functional cost management initiatives and influencing decision-making in dynamic, fast-paced organizations will be especially well suited for this role.

Knowledge, Skills, and Abilities

• Excellent written and verbal communication skills and strong organizational skills
• Strong analytical and problem-solving skills and attention to detail
• Ability to work with highly collaborative team and proven team player working with various teams
• Ability to solve problems quickly and efficiently
• Prioritizes and ensures safety of oneself and others
• Ability to proactively collect, manage and transfer knowledge
• Ability to seek different and novel ways to create efficiencies when working on problems, challenges and issues

Physical Demands

• Remaining in a stationary position, often standing, or sitting for prolonged periods
• Moving about to accomplish tasks or moving from one worksite to another
• Communicating with others to exchange information

Environmental Conditions

• General office environment
• Assessing the accuracy, neatness and thoroughness of the work assigned
• High-concentration, demanding and fast-paced

Safety and PPE

• Reading and interpreting hazardous warning signs
• Reporting issues with equipment or unsafe conditions

Travel

• If candidate not physically located in Albuquerque, NM, travel is up to 20-30% 

Additional Requirements

• Requires occasional working weekends
• Requires occasional schedule flexibility
• Requires occasional extended hours to support launch and critical project timelines

The salary for this position is $209,400 to $261,800 for employees working onsite at our Alameda, CA headquarters. The range provided in this job posting represents the typical range or starting rate of candidates hired in California. Factors that maybe used to determine your actual salary may include your education, experience, knowledge, skills, abilities, the market data for your work location, and a comparison to other employees already in the role. 

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