Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:

• Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
• Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
• Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
• Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
• Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
• Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
• Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

What You'll Bring:

• At least 5 years of experience in data engineering, backend engineering, or platform engineering.
• Strong proficiency in Python, with experience in Go or Rust considered a plus.
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
• Comfort working with high-volume, complex, and unstructured data.
• Strong problem-solving skills, including the ability to debug both software and data issues.
• Excellent attention to detail and ability to work independently while delivering high-quality results.
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Preferred Qualifications:

• Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
• Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

Role

We’re looking for a Principal Software Development Engineer to join our team. Based out of our Bangalore office, you will report to the Senior Manager, Software Engineering within the Zero Trust Exchange department.

As a Principal Software Engineer you will build the backend systems that keep the product fast, reliable, and able to scale as usage grows. You will create microservices and event-driven workflows, and ensure data can be ingested and queried efficiently across relational, graph, and time-series databases. You will also drive cross-team execution by collaborating closely with multiple groups to deliver high-quality results on tight timelines.

What you’ll do (Role Expectations)

• Architect and deliver scalable microservices on EKS (GoLang): design, build, and operate production services that meet uptime, latency, and scale goals
• Build event-driven pipelines with Kafka and MQTT: implement asynchronous workflows that are resilient, observable, and easy to evolve as product needs change
• Design high-performance data models and access patterns: optimize ingest and querying across RDS MySQL, Neo4J, and ElasticSearch for correctness, speed, and cost efficiency
• Harden production readiness and operational excellence: establish monitoring, alerting, tracing, and on-call standards; drive root-cause fixes and reliability improvements
• Lead cross-team delivery and technical direction: align stakeholders, break down complex work, and execute quickly while maintaining a high bar for quality and security

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Senior-level backend engineering experience designing and shipping highly scalable microservices in production developed in Go
• Proven experience with event-driven, asynchronous architectures using messaging/streaming platforms such as Kafka
• Strong data engineering and persistence skills building efficient ingest and query patterns across relational databases (MySQL) plus at least one of ElasticSearch or Neo4J
• Hands-on experience running services on Kubernetes (ideally EKS), including deployment, troubleshooting, and operational ownership

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to profile and optimize distributed systems end-to-end (latency, throughput, resource usage), including performance tuning across services, databases, and messaging
• Strong track record designing debuggability/observability for distributed applications—structured logging, metrics, distributed tracing, and actionable dashboards/alerts for rapid incident triage
• Experience defining and operationalizing SLIs/SLOs (error budgets, alert policies, reliability reporting) and driving product decisions based on measured service health

#LI-Hybrid #LI-NT1

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape.

POSITION OVERVIEW

•       Position: Red Team Operator-Lead
•       Job Type: Full Time
•       Location: Remote
•       Clearance Requirement:TS/SCI

WHAT YOU’LL DO

SIXGEN is actively seeking candidates for a senior developer lead on RTAI for the Phase III period of performance. The role is approximately 70% hands-on engineering and 30% delivery management — coding along- side the senior architect to ship SOW Task 3 (security hardening and verification) and Task 6 (operator-support enhancements), while owning sprint cadence, ticket management, and packaging of deliverable artifacts and verification evidence for the government customer. The successful candidate will come up to speed quickly on RTAI’s stack and assume primary IC responsibility for assigned deliverables within the first 30 days.

Responsibilities include:

•         Implement Task 6 enhancements across RTAI’s Node.js/Express backend and React/Vite frontend (prompting library, context management UX, workflow guidance, report production, ac- count/permission improvements, PCAP analysis workflow polish, framework-feature configurability)
•         Deliver Task 3 security remediation work: authentication-endpoint rate limiting, encryption- at-rest for sensitive tables and on-disk artifacts, workspace-isolation hardening at the database layer, container-capability tightening, CSRF protections
•         Own day-to-day sprint cadence: backlog grooming, ticket management, sprint planning, and status reporting to internal leadership and the government POC
•         Produce and package deliverable artifacts and verification evidence per SOW requirements (Task 3 verification test cases, Task 6 operational-utility evidence, PCAP accuracy/repeatability characterization)
•         Maintain code quality through reviews, testing discipline, and mentorship of any junior contributors
•         Collaborate with the senior architect on requirements decomposition, technical design, and prioritization

Technology proficiency includes:

•         6+ years combined technical experience across software engineering and IT systems
•         Strong modern JavaScript (ES6+) with backend service development experience
•         React (or comparable modern SPA framework) with current production deployments under your belt
•         PostgreSQL or comparable relational database, including schema design and migration management
•         Docker and containerized deployment workflows; CI/CD pipeline ownership
•         Git, branch-based development, code review discipline
•         Agile/Scrum delivery experience: sprint planning, backlog management, retrospective ownership
•       Linux server administration in production environments
•         Application security fundamentals: authentication, role-based access control, encryption at rest and in transit, OWASP Top-10 awareness
•         Strong written and verbal communication, with demonstrated ability to package technical deliverables for government or regulated customers

Preferred / Will-Train-On

These reflect RTAI’s specific stack. The right candidate is expected to ramp on these within the first 60 days; prior exposure to any of them is a strong plus but is not disqualifying if absent:

o     Node.js / Express server-side development

o     LLM application development against Anthropic, OpenAI, AWS Bedrock, or Ollama SDKs

o     Retrieval-Augmented Generation (RAG) pipelines and vector databases (LanceDB, Pinecone, Qdrant, Weaviate, Milvus, ChromaDB)

o     LangChain or comparable agent/orchestration frameworks

o     Prisma ORM, WebSocket-based real-time features (Express-WS), Tailwind CSS

o     GraphRAG and graph databases (Memgraph, Neo4j)

o     Cybersecurity tooling integration: PCAP capture and analysis, MITRE ATT&CK framework, Kali Linux toolchain, Ghostwriter, GitLab API integration

o     Embedding-model and reranker pipelines (Xenova transformers, sentence-transformers, Cohere, etc.)

COMPENSATION & BENEFITS

SIXGEN offers a competitive executive compensation package, designed to reflect the outsized impact and enterprise value creation expected of this role. The final package will be determined based on experience, qualifications, and demonstrated ability to lead strategic growth.

Additionally, SIXGEN offers top-tier benefits for full-time employees, including:

•       Employer-paid health insurance premiums (medical, dental, vision) for you and your family
•       Employer-paid short/long term disability insurance and basic life/AD&D insurance
•       401K with a 4% employer contribution
•       Professional development reimbursement options available (training, certification, education, etc)​
•       Flexible and remote work policies for most positions
•       Flexible PTO and holiday schedule
•  

For more information, please reach out to our Human Strategist Amy Maxwell at amy.maxwell@sixgen.io.

OUR COMMITMENT

SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.

We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

Team Charter:  

The Data team is the engine of intelligence at OfferUp. Our mission is to transform massive amounts of marketplace data into seamless, safe, and personalized experiences that empower millions of people to connect and prosper. We bridge the gap between complex algorithms and real-world customer impact across search, trust & safety, and personalization.

About the role: 

AI is transforming how millions of people buy, sell, and connect on OfferUp - and this role is at the center of making that happen. As an AI Engineer on the Data team, you will own the production systems — from agentic workflows and RAG pipelines to LLM integrations - that turn our marketplace intelligence into real customer experiences. From enhancing search ranking and personalization to powering fraud detection and generative AI features, your work will have a company-wide impact and be felt by millions of users every day. The Data team reports into the broader engineering organization and directly influences OfferUp's most critical product surfaces.

We are looking for an AI Engineer to join our Data team. This team is tasked with building the core intelligence - supporting  search ranking, recommendation engines, fraud detection, and generative AI features - that is critical to OfferUp's success as the leading local marketplace. You will be part of a cross-functional team that includes Data Engineering and Data Science, serving as the bridge that turns research and models into shipped, production-grade AI systems.

What we love about this role: 

• Breadth of Impact: You won't be siloed; you will build AI systems that drive results across Search & Discovery, Trust & Safety, Advertising, and core Personalization.
• Modern AI Stack: Work with agentic frameworks (LangChain, LangGraph), RAG architectures, and LLM APIs to solve real marketplace problems.
• Production Ownership: You will build, ship, and own AI features end-to-end, from design through deployment.
• Collaborative Environment: Work alongside Senior Data Scientists and Engineers, positioning you at the intersection of research and production.

In this role, you will 

• Design and build agentic AI systems and RAG pipelines for production features across the marketplace.
• Integrate LLMs into product experiences across search, categorization, communication, and trust & safety.
• Partner with Data Scientists and Engineers to turn research into shipped products.

Here’s more of what you will get to do:

• Impact on Product: Deliver the next generation of Search, Personalization, and Trust & Safety features powered by reliable, production-quality AI systems.
• Impact on Company: Directly contribute to key business KPIs (conversion, retention, fraud reduction) by turning data science insights into shipped capabilities.
• Critical Projects: Production RAG pipelines for intelligent discovery; agentic workflows for marketplace automation; tooling and infrastructure for rapid, safe LLM deployment.

You’ll thrive in this role if you have:.

• 2-4 years building and deploying AI/ML systems in production.
• 2+ years professional Python development.
• Hands-on experience with agentic frameworks (LangChain, LangGraph, or similar) including function calling and tool-use design.
• Practical experience building RAG systems (vector search, semantic chunking, rerankers).
• Experience with LLM APIs, prompt engineering, and structured outputs.
• Proficiency with async Python (asyncio, streaming) and Pydantic.
• Strong SQL skills for large-scale data systems.
• Bachelor's in CS, Math, Statistics, or related field (or equivalent experience).
• Collaborative mindset and strong communication skills.

Helpful, but not required: [nice to haves]

• LLMOps tooling: evals (Ragas, DeepEval), observability (LangSmith, Arize Phoenix), guardrails (NeMo).
• Cloud deployment of AI services (AWS preferred).
• GraphRAG or knowledge graph integration (Neo4j/FalkorDB).
• ReAct, Plan-and-Solve, or multi-agent collaboration patterns.

Compensation Range: $140,000 - $160,000

OfferUp offers a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors, including but not limited to education, experience, knowledge, skills, and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual’s level and experience.

Benefits (all US roles): In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time, exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1). Your recruiter can share more details about specific benefits during the interview process.

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the job

We are looking for a highly skilled AI Engineer to join our team and lead the design and implementation of complex AI agents capable of reasoning, planning, and collaborating with humans and other systems. This role goes beyond building simple chatbots: you will be responsible for creating multi-agent architectures, integrating advanced LLMs, and ensuring robustness, scalability, and security in production environments.

You will work closely with product managers, data engineers, and security specialists to develop agent-based systems that handle real-world complexity at scale.

What you'll do:

• Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution.
• Implement RAG (Retrieval-Augmented Generation) pipelines, using orchestration tools and frameworks (LangChain, LangGraph, Azure AI Foundry).
• Optimize model serving for low-latency, high-throughput inference using frameworks like KServe, Triton Inference Server, or Ray Serve.
• Build observability and evaluation frameworks to monitor agent reasoning, success rates, and failure cases.
• Collaborate with ML and data engineers to integrate structured and unstructured data sources into agent workflows.
• Apply security and alignment techniques (guardrails, prompt injection prevention, red-teaming) to ensure robust behavior.
• Work in a CI/CD environment (Azure DevOps, GitHub Actions, ArgoCD) for rapid iteration and reliable deployment.
• Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management.

What you'll need:

• Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components).
• Proven experience with LLMs (OpenAI, Anthropic, Llama, Mistral, or similar).
• Practical experience with agent orchestration frameworks (LangChain, LangGraph, Semantic Kernel).
• Deep understanding of search and retrieval systems (vector databases like Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of distributed systems and experience deploying ML models in Kubernetes/AKS/EKS/GKE environments.
• Familiarity with ONNX Runtime, TensorRT, or DeepSpeed for inference optimization.
• Experience with public clouds (Azure, AWS, or GCP) and infrastructure as code (Terraform, CloudFormation, or Bicep).
• Understanding of AI security (prompt injection, data leakage, adversarial testing).

Nice to have:

• Experience with multi-agent simulations (AutoGen, CrewAI, OpenAI Swarm).
• Background in red-teaming and offensive security for AI models.
• Knowledge of graph databases (Neo4j, ArangoDB) for agent memory and reasoning.
• Publications, research contributions, or involvement in open-source projects related to LLM or agent frameworks.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape.

POSITION OVERVIEW

• Position: Senior Data Scientist
• Job Type: Full Time
• Location: Onsite 
• Clearance Requirements: TS/SCI & Poly (MUST HAVE)
• Years of experience: 4+

ABOUT THE TEAM

SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. 

• Key Responsibilities 
• Develop, and maintain robust and scalable data pipelines for enterprise AI applications including 
• defining appropriate data model concepts
• Develop high-performance data parsers for extremely large and complex datasets 
• Implement and manage various database systems, including graph, SQL, NoSQL, and vector 
• databases 
• Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize 
• data access and retrieval for AI models 
• Ensure data quality, integrity, and security across all data storage solutions 
• Support the deployment and maintenance of AI applications by providing expert data engineering 
• capabilities 
• Familiarity with AI concepts in the context of data storage, access, and retrieval 
• Continuously optimize data infrastructure for performance, cost-efficiency, and scalability 
• Required Qualifications 
• Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree 
• Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, 
• Java, Scala) 
• Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale 
• enterprise environments 
• Proven experience with corporate dataflows and developing data parsers for extremely large datasets 
• Extensive experience with various database technologies including graph databases (e.g., Neo4j), 
• SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and 
• vector databases 
• Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing 
• Active TS/SCI clearance with Polygraph
• Desired Qualifications 
• Experience with data governance, data security, and compliance best practices 
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka. 
• Experience with data warehousing concepts and tools 
• Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements 

COMPENSATION & BENEFITS

$180,000-$220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Additionally, SIXGEN offers top-tier benefits for full-time employees, including:

• Employer-paid health insurance premiums (medical, dental, vision) for you and your family 
• Employer-paid short/long term disability insurance and basic life/AD&D insurance
• 401K with a 4% employer contribution
• Professional development reimbursement options available (training, certification, education, etc)​
• Flexible and remote work policies for most positions
• Flexible PTO and holiday schedule

OUR COMMITMENT

SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.

We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

About the Role: We are seeking a driven individual who is passionate about new business acquisition and enterprise sales. As a Corporate Account Executive, you will be responsible for executing a strategic sales plan within your assigned territory, focusing on revenue growth and new customer acquisition. This role offers the opportunity to work closely with cross-functional teams, including solution engineering (pre-sales), marketing, and professional services, to ensure customer satisfaction and long-term success.

This is a West Coast based remote position with a preference for location in the San Francisco Bay area, greater Seattle area, or greater Portland area.

Key Responsibilities:

• Develop and execute a strategic territory plan targeting key organizations and applicable use cases to build a robust pipeline and achieve quarterly and annual sales objectives.
• Become an expert in our product offerings and industry solutions, delivering compelling demos, presentations, and proposals that clearly articulate business value.
• Leverage deep knowledge of the market to position our solutions as the best fit for customer needs, highlighting the advantages over competing technologies and approaches.
• Lead complex sales cycles with a solution-based approach, employing strategic selling strategies and tactics, including the Land & Expand model to grow accounts.
• Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within existing accounts.
• Provide guidance and mentorship to Business Development Representatives (BDRs) and Field Marketing resources to align on target accounts and support pipeline development.
• Maintain accurate and up-to-date information within the CRM system, ensuring data integrity and adhering to forecasting guidelines.
• Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth opportunities.

What You Bring to the Role:

• 3+ years of proven success in commercial software sales with a consistent track record of exceeding targets.
• Demonstrated experience managing complex sales processes within enterprise markets such as Data Warehousing, Business Intelligence, Data Science, AI/ML, or related fields.
• Proven ability to independently develop and close new client relationships while effectively managing long-term business engagements.
• Deep understanding of commercial open-source business models, including selling on-premise and cloud & SaaS hybrid solutions.
• Ability to craft and execute sales strategies tailored to specific industries, leveraging partner and Go-to-Market knowledge.
• Strong presentation, communication, and organizational skills with a knack for building strong business champions.
• Familiarity with sales methodologies such as MEDDIC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market.
• Experience collaborating with cross-functional teams to deliver on customer expectations, including Pre-Sales, Marketing, Customer Success, and Field Engineering resources.
• Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Professional Services, and Channel Partners.

Preferred Qualifications:

• Experience selling complex technical solutions, with a focus on subscription-based models and cloud deployments.
• Knowledge of graph technology, data management tools, or other advanced data-driven technologies.
• A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (Google Docs, Salesforce, MS Office).

About the Role: We are seeking a driven, high-energy individual who is passionate about new business acquisition and enterprise sales. As a Senior Enterprise Account Executive, you will be responsible for executing a strategic sales plan within your assigned territory, focusing on revenue growth and new customer acquisition. This role offers the opportunity to work closely with cross-functional teams, including solution engineering (pre-sales), marketing, and professional services, to ensure customer satisfaction and long-term success.

This is a West Coast-based remote position with a preference for location in the San Francisco Bay area or the Pacific Northwest. 

Key Responsibilities:

• Develop and execute a strategic territory plan targeting key organizations and applicable use cases to build a robust pipeline and achieve quarterly and annual sales objectives.
• Become an expert in our product offerings and industry solutions, delivering compelling demos, presentations, and proposals that clearly articulate business value.
• Leverage deep knowledge of the market to position our solutions as the best fit for customer needs, highlighting the advantages over competing technologies and approaches.
• Lead complex sales cycles with a solution-based approach, employing strategic selling strategies and tactics, including the Land & Expand model to grow accounts.
• Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within existing accounts.
• Provide guidance and mentorship to Business Development Representatives (BDRs) and Field Marketing resources to align on target accounts and support pipeline development.
• Maintain accurate and up-to-date information within the CRM system, ensuring data integrity and adhering to forecasting guidelines.
• Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth opportunities.

What You Bring to the Role:

• 7+ years of proven success in enterprise software sales with a consistent track record of exceeding targets.
• Demonstrated experience managing complex sales processes within enterprise markets such as Data Warehousing, Business Intelligence, Data Science, AI/ML, or related fields.
• Proven ability to independently develop and close new client relationships while effectively managing long-term business engagements.
• Deep understanding of commercial open-source business models, including selling on-premise and cloud & SaaS hybrid solutions.
• Ability to craft and execute sales strategies tailored to specific industries, leveraging partner and Go-to-Market knowledge.
• Strong presentation, communication, and organizational skills with a knack for building strong business champions.
• Familiarity with sales methodologies such as MEDDIC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market.
• Experience collaborating with cross-functional teams to deliver on customer expectations, including Pre-Sales, Marketing, Customer Success, and Field Engineering resources.
• Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Professional Services, and Channel Partners.

Preferred Qualifications:

• Experience selling complex technical solutions into enterprise markets, with a focus on subscription-based models and cloud deployments.
• Knowledge of graph technology, data management tools, or other advanced data-driven technologies.
• A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (Google Docs, Salesforce, MS Office).

The Role

Neo4j GraphAcademy provides free, self-paced, hands-on online training paths for Developers, Data Engineers, and Data Scientists to achieve success with Neo4j.

We are looking for an enthusiastic Curriculum Developer to create engaging, hands-on online training courses, videos, and technical content that educate and empower Neo4j users of all experience levels.

You can view our existing course catalogue and get a feel for how we teach at graphacademy.neo4j.com.

Key Responsibilities

• Design and produce high-quality technical content (courses, videos, sample applications, diagrams) using existing Neo4j Documentation.
• Identify gaps in the course catalog, develop courses to cover them, and build clear learning paths for different graph use cases.
• Provide feedback on Neo4j offerings and course catalog to improve the user experience.
• Collaborate with the distributed Developer Relations, Marketing, Product Management, Solutions Engineering, and R&D teams.
• Be comfortable expressing complex subject matter clearly and simply, and working on camera.

Qualifications

• Must Haves:
• A background in education or technical writing.
• Able to demonstrate experience creating video content that uses visual aids to break complex content down into easy-to-understand content.
• Ability to research and develop training materials for users of all ability levels.
• An empathy for users and their learning experience.
• A strong command of the English language (writing and speaking).
• Experience working remotely.
• Nice to Have:
• Experience with Generative AI, Large Language Models, and GenAI frameworks.
• Experience with software development, databases, data engineering, or machine learning.

Specialities

We are seeking educators with expertise in one or more of the following domains. Candidates may have direct professional experience in the field or a background in technical education within these areas.

• Data Ecosystem Integration: Experience integrating or migrating data across major cloud platforms and data providers, such as Snowflake, Databricks, and Microsoft Fabric.
• Generative AI (GenAI): Deep expertise in GenAI, including building applications that utilize Retrieval-Augmented Generation (RAG) and Context Engineering principles.
• DevOps and System Administration: Experience in DevOps practices and administering large-scale systems.

The Opportunity:

ZoomInfo built the industry's most sophisticated GTM data acquisition infrastructure. Now we're applying that same rigor to context engineering—the emerging discipline that determines whether AI systems deliver transformative value or incremental improvement.

This role architects the context layer powering our AI intelligence across Copilot, GTM Studio, and MarketingOS. You'll transform how ZoomInfo's agentic workflows access, compress, and deliver precisely the right information at exactly the right moment. The impact is organization-wide: every AI interaction, every intelligent recommendation, every autonomous agent action depends on the context infrastructure you’ll build.

We've transitioned to AI-first product thinking company-wide. The context pipelines exist but remain nascent—creating a rare opportunity to define architectural patterns and platform standards that compound value across multiple product teams in the years to come.

What You'll Do:

Architect Context Acquisition Pipelines Design and optimize how ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and data producers. You'll balance retrieval quality against latency and cost constraints, implementing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while respecting token budgets.

Own the Context Layer Platform Build infrastructure serving multiple product teams—Copilot, GTM Studio, MarketingOS—as internal customers. Establish API contracts, developer experience standards, and integration patterns that accelerate feature velocity. Maintain the delicate balance between providing flexible building blocks and opinionated solutions that encode best practices.

Drive Quality Through Measurement Implement evaluation frameworks using RAGAS metrics and custom benchmarks. Monitor retrieval precision, context relevance, hallucination rates, and system performance in production. Translate quality signals into architectural improvements, working closely with ML engineers to iterate on embedding models, reranking strategies, and retrieval algorithms.

Navigate Emerging Research Context engineering evolves weekly. You'll continuously evaluate innovations—GraphRAG for multi-hop reasoning, test-time compute scaling, multimodal retrieval, compression techniques—determining which advances warrant production investment versus which remain academic curiosities. Bring external best practices to ZoomInfo while contributing learnings back to the broader community.

Orchestrate Cross-Functional Execution Translate between three distinct worlds: ML engineers optimizing retrieval algorithms, platform engineers building scalable infrastructure, and product teams shipping customer features. Establish communication cadences, prioritization frameworks, and decision-making processes that balance urgent requests against strategic platform development.

What You’ll Bring:

• 6-8 years of product management experience with 2+ years in ML/AI infrastructure
• Direct experience with production RAG systems, vector databases, or semantic search, context management
• Experience with graph databases (e.g. Neo4j) 
• Track record building platform products serving multiple internal or external customers
• Familiarity with context compression, embedding models, and retrieval evaluation frameworks
• History of defining product vision in nascent technical domains where best practices are still emerging

Who You Are:

Technical Foundation Expert-level understanding of RAG system architecture—you can discuss embedding dimensionality trade-offs, vector database indexing strategies, and reranking approaches with depth. You've built or significantly contributed to production retrieval systems, not just managed them at arm's length. Python and SQL proficiency enables you to review code, analyze retrieval issues, and prototype solutions for concept validation.

Platform Product Mindset Experience building infrastructure products where internal engineering teams are your customers. You measure success through downstream product velocity improvements and developer satisfaction scores, not just uptime metrics. You understand platform economics—how each additional team using your infrastructure increases its value through shared learnings and amortized costs.

Intellectual Velocity You read recent research papers from arXiv, ACL, NeurIPS. You prototype emerging techniques to understand their practical constraints. You maintain strong opinions weakly held, updating your architectural assumptions as evidence accumulates. The discipline moves too fast for static expertise—continuous learning is non-negotiable.

Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why implementing GraphRAG takes 6 months but unlocks $10M in product capabilities. You can communicate to engineers why business constraints require shipping "good enough" in 3 weeks rather than "optimal" in 3 months. You influence without formal authority through data, clear reasoning, and earned credibility.

The Environment:

Reporting & Collaboration Report to the Senior Product Director for Context Engineering, Semantic Data Layer, and Agentic Memory within ZoomInfo's Intelligence team. Work alongside PMs responsible for signals and ML scoring/recommendation models. Together, you ensure our agentic workflows fill context windows with high-quality, information-dense content exactly when needed.

Pace & Problems Fast-moving engineering team that understands the space. Company-wide AI adoption push creates both urgency and opportunity. Expect interesting problems: How do we maintain sub-200ms retrieval latency at scale? When does GraphRAG justify its indexing cost? How do we balance context freshness with cache efficiency? You'll shape answers that become architectural patterns across the organization.

Impact Define a nascent discipline at a company that's already AI-first in product thinking and organizational structure. Your architectural decisions compound—every improvement to context quality multiplies across Copilot, GTM Studio, MarketingOS, and future products we haven't imagined yet. This is infrastructure work with direct line-of-sight to customer value.

#LI-VC1

#LI-Remote 

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

ABOUT THE ROLE

We are looking for a talented Sr. GenAI Engineer who sits at the intersection of knowledge engineering, agentic AI, and data intelligence. In this role you will design and operate AI agents that traverse, reason over, and enrich large-scale knowledge graphs — then extend that context dynamically using live data sources such as the web, enterprise APIs, and structured databases.

The ideal candidate is deeply comfortable with graph data models, LLM orchestration frameworks, and retrieval-augmented pipelines. Bonus points if you have experience working in trade-craft or intelligence-adjacent environments where provenance, precision, and adversarial robustness are non-negotiable.

KEY RESPONSIBILITIES

Knowledge Graph Engineering

• Design, build and maintain large-scale property graphs and RDF triplestores (Neo4j, Amazon Neptune, Stardog, or equivalent).
• Develop and govern ontologies, taxonomies, and entity-relationship schemas that reflect real-world domain semantics.
• Implement graph ingestion pipelines that extract, transform, and link entities from structured, semi-structured, and unstructured data.
• Optimise graph traversal queries (Cypher, SPARQL, Gremlin) for sub-second response at production scale.
• Train and deploy graph neural networks (GNNs) for node classification, link prediction, and subgraph retrieval - Maintain model retraining workflows triggered by graph drift or coverage degradation.

Agentic AI Systems

• Architect and implement autonomous agents that plan multi-step reasoning chains over knowledge graph data using LLMs (GPT-4o, Claude, Gemini, or open-source equivalents).
• Build graph-aware Retrieval-Augmented Generation (RAG) pipelines that blend structured graph context with unstructured document retrieval.
• Design tool-use and function-calling layers so agents can query live data sources — web search, REST/GraphQL APIs, relational databases — to extend or verify graph knowledge.
• Implement agent memory, reflection, and self-correction loops to improve reliability over multi-hop tasks.

Context Enrichment & Data Fusion

• Integrate web scraping, news feeds, and open-source intelligence (OSINT) sources to keep the knowledge graph current.
• Build entity resolution and deduplication components that merge data from heterogeneous sources into a consistent graph.
• Develop confidence-scoring and provenance-tracking mechanisms so downstream consumers understand the reliability of any piece of context.

MLOps & Production Readiness

• Package agents as scalable microservices; instruments with observability tooling (tracing, latency, token cost).
• Collaborate with platform engineers to deploy workloads on cloud-native infrastructure (AWS / GCP / Azure).
• Maintain evaluation harnesses that measure agent accuracy, hallucination rate, and graph coverage over time.

REQUIRED SKILLS & EXPERIENCE

• 5 + years of professional software engineering with strong Python (or Java / Kotlin) proficiency.
• Hands-on production experience with at least one major graph database — Neo4j, Amazon Neptune, TigerGraph, or comparable.
• Demonstrated knowledge of graph query languages like Cypher, SPARQL, or Gremlin — at production query complexity.
• Direct experience building LLM-powered agents or pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
• Solid understanding of RAG architectures: chunking strategies, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, and re-ranking.
• Familiarity with prompt engineering, few-shot learning, and LLM evaluation techniques.
• Experience integrating external data sources via APIs, web scraping (Playwright / Scrapy), or streaming pipelines (Kafka / Kinesis).
• Working knowledge of containerisation (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with graph export formats - at least one GraphML, RDF/OWL, or JSON-LDExperience integrating GNN-derived features into vector stores or RAG pipelines

PREFERRED QUALIFICATIONS

• Advanced degree (MS / PhD) in Computer Science, Information Science, Computational Linguistics, or a related field.
• Experience in intelligence, defence, or trade-craft environments — working with OSINT, link analysis, entity disambiguation, or signals intelligence data.
• Understanding of access-control models for sensitive graph data (need-to-know, compartmentalisation, provenance labelling).
• Familiarity with knowledge representation standards like OWL, SHACL, RDF-star, JSON-LD, W3C PROV.
• Experience with fine-tuning or instruction-tuning open-source LLMs (Llama, Mistral, Falcon) for domain-specific tasks.
• Background in network-analysis algorithms: centrality, community detection, path-finding, anomaly detection on graphs.
• Contributions to open-source graph or GenAI projects; published research or technical blog presence.
• Active or adjudicatable security clearance (Secret or above) — strongly preferred for trade-craft assignments.

THE ROLE

Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance. 

This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements.

WHAT YOU'LL DO

• Design, build, and deploy graph-based AI solutions, combining knowledge graphs, LLMs, and ML models applied to large-scale unstructured data
• Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs
• Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis 
• Design, deploy, and operate graph and vector databases to support retrieval, reasoning, and analytics
• Optimize models and inference pipelines for production constraints including latency, throughput, cost, and infrastructure
• Deploy, monitor, and iterate on ML systems in production environments ensuring reliability and continuous integration
• Drive architectural decisions and technical direction for applied AI and graph intelligence solutions
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Proven experience in developing and deploying to production knowledge graphs in a real business scenario
• Strong hands-on background in developing text-based ML and LLM systems, including prompt context engineering, optimized for production environments
• Strong proficiency in Python, ML / KG frameworks and tools (e.g. Neo4j, NetworkX, Node2Vec, SentenceTransformers) with the ability to select the right tool for the problem at hand
• Ability to apply the appropriate graph algorithms and design choices for problem solving, including relationship and ontology modelling, feature definition, supervised vs unsupervised graph analytics
• Ability to design clean, modular, and testable ML code in a collaborative environment
• Experience with MLOps practices, building production-grade Docker images, and development of AI solutions designed for integration into production systems
• Experience collaborating with software engineers, product managers, and business stakeholders
• Strong communication skills and ability to explain ML concepts and system behavior clearly

 #LI-ONSITE

Job Title: AI Researcher (AI-Oriented Knowledge Systems)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions: Responsible for one or two of the following areas:

Knowledge Extraction & Structuring

• Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
• Design automated pipelines for entity recognition, relation extraction, and event detection
• Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
• Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs
• Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion

Knowledge Organization & Representation

• Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
• Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces
• Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
• Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge
• Research knowledge version management and provenance mechanisms to ensure knowledge traceability

Knowledge Retrieval & Augmentation

• Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
• Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches
• Develop retrieval re-ranking algorithms to enhance Top-K result relevance
• Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
• Explore retrieval feedback learning to continuously optimize retrieval strategies based on user behavior

Knowledge Reasoning & Question Answering

• Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning
• Develop Complex QA systems supporting multi-condition and multi-step question answering
• Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches
• Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization
• Research knowledge gap detection and active learning mechanisms to identify coverage blind spots in the knowledge base

Knowledge Update & Maintenance

• Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates
• Research knowledge conflict detection and resolution strategies for handling contradictory information fusion
• Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics
• Explore human-feedback-driven knowledge iteration mechanisms
• Research knowledge compression and summarization techniques to optimize storage efficiency and retrieval performance

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
• 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems
• Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred

Technical Skills

Programming & Engineering

• Proficient in Python with expertise in data processing and large-scale text processing techniques
• Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
• Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
• Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)

AI Expertise

• Deep understanding of core NLP technologies: entity recognition, relation extraction, text classification, semantic similarity
• Familiar with the full lifecycle of knowledge graph construction and application
• Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
• Prior experience in vertical domain knowledge system construction and knowledge-driven LLM application deployment (e.g., healthcare, legal, finance, technology) preferred
• Familiar with multi-modal knowledge processing (text + image + table + structured data)

Data Processing

• Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
• Experience in data governance such as data cleaning, deduplication, and standardization preferred
• Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)

Research Capabilities

• Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
• Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
• Experimental design and evaluation capabilities, able to design proper comparative and ablation studies

Soft Skills

• Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments
• Excellent communication and collaboration skills, able to work efficiently with engineering and product teams
• Systems thinking ability to approach knowledge system design from an overall architecture perspective

#LI-EB1

#GS

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Vice President of Engineering within our Content product team.

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

Associate Solution Engineer 

The Role:

Neo4j is the world’s leading graph database and our Sales Engineering team are the people that help customers realize its value every day. Neo4j has proven to be the go-to data management solution in use cases such as Fraud Detection, Knowledge Graphs, Recommendation and personalisation, Risk management, Security, IT Management and Network Operations and many more.

In the Neo4j Sales Engineering team, we are technologists who enjoy working directly with customers in a variety of industries, and with a wide range of technologies and architectures. We provide engineering and architecture leadership and development for the Neo4j-based solutions our customers are building.

The responsibilities of an Associate Sales Engineer cover a variety of tasks, from assisting in the discovery of customer needs to helping transform those needs into technical designs. You will work closely with senior team members to learn how to demonstrate Neo4j technology, participate in whiteboarding sessions, and engage with technical stakeholders to understand their problems and map them to solutions.  The Associate Sales Engineer understands business terminology, thinks in technical terms and combines both sides during the entire engagement

In this role, you will develop your expertise in Graph Databases while learning how Neo4j fits within a Modern Data Architecture alongside Big Data platforms, NoSQL stores, and cloud services, and how to position other architectural components in a graph-based solution.

We are open to recent graduates or early-career candidates who can demonstrate strong foundational skills and a passion for learning, even if they do not meet every requirement listed.

What You'll Do:

• Collaborative Support: Partner with the Neo4j sales team to assist in all phases of the pre-sales process.
• Technical Positioning: Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology.
• Technical Demonstrations: Deliver product demonstrations that highlight the benefits and advantages of graph database technology.
• Prototype Development: Assist in designing and building prototype solutions and "Proof of Concepts" (POCs) that demonstrate functional power with Neo4j.
• Solution Architecture: Support the design of solution architectures that address the technical requirements of customer projects.
• Proposal Preparation: Help prepare technical solution proposals and documentation for customer engineering and management teams.
• Discovery & Qualification: Assist in technical discovery sessions to understand prospective customers' environments and needs.

What You'll Bring:

• Experience: 1–3 years of experience in a customer-facing technical role (e.g., Junior Pre-Sales, Professional Services, Support, or Technical Consulting).
• Data Fundamentals: Understanding of database technologies and data modeling concepts; experience with SQL or NoSQL is ideal.
• Software Engineering: Solid software engineering principles and proficiency in at least one programming language: Java, Python, or JavaScript.
• Problem Solving: A passion for learning new technologies and solving complex technical problems.
• Communication: Strong written and spoken English communication skills, with the ability to explain technical concepts to small groups.
• Sales Awareness: A basic understanding of the sales process and a proactive approach to keeping technical tasks on schedule.
• Adaptability: Ability to work collaboratively and independently in a remote, cross-functional organization.
• Travel: Ability and willingness to travel.

Nice to Have:

• Graph DB related experience ie Neo4j or other Property Graph or RDF platforms.
• Data Science, AI/MLData integration: ETL, Virtualisation, federation
• BI and data visualization (Tableau, Qlik, viz libraries: D3, viz.js, Linkurious...)
  
  
  

Associate Solution Engineer 

The Role:

Neo4j is the world’s leading graph database and our Sales Engineering team are the people that help customers realize its value every day. Neo4j has proven to be the go-to data management solution in use cases such as Fraud Detection, Knowledge Graphs, Recommendation and personalisation, Risk management, Security, IT Management and Network Operations and many more.

In the Neo4j Sales Engineering team, we are technologists who enjoy working directly with customers in a variety of industries, and with a wide range of technologies and architectures. We provide engineering and architecture leadership and development for the Neo4j-based solutions our customers are building.

The responsibilities of an Associate Sales Engineer cover a variety of tasks, from assisting in the discovery of customer needs to helping transform those needs into technical designs. You will work closely with senior team members to learn how to demonstrate Neo4j technology, participate in whiteboarding sessions, and engage with technical stakeholders to understand their problems and map them to solutions.  The Associate Sales Engineer understands business terminology, thinks in technical terms and combines both sides during the entire engagement

In this role, you will develop your expertise in Graph Databases while learning how Neo4j fits within a Modern Data Architecture alongside Big Data platforms, NoSQL stores, and cloud services, and how to position other architectural components in a graph-based solution.

We are open to recent graduates or early-career candidates who can demonstrate strong foundational skills and a passion for learning, even if they do not meet every requirement listed.

What You'll Do:

• Collaborative Support: Partner with the Neo4j sales team to assist in all phases of the pre-sales process.
• Technical Positioning: Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology.
• Technical Demonstrations: Deliver product demonstrations that highlight the benefits and advantages of graph database technology.
• Prototype Development: Assist in designing and building prototype solutions and "Proof of Concepts" (POCs) that demonstrate functional power with Neo4j.
• Solution Architecture: Support the design of solution architectures that address the technical requirements of customer projects.
• Proposal Preparation: Help prepare technical solution proposals and documentation for customer engineering and management teams.
• Discovery & Qualification: Assist in technical discovery sessions to understand prospective customers' environments and needs.

What You'll Bring:

• Experience: 1–3 years of experience in a customer-facing technical role (e.g., Junior Pre-Sales, Professional Services, Support, or Technical Consulting).
• Data Fundamentals: Understanding of database technologies and data modeling concepts; experience with SQL or NoSQL is ideal.
• Software Engineering: Solid software engineering principles and proficiency in at least one programming language: Java, Python, or JavaScript.
• Problem Solving: A passion for learning new technologies and solving complex technical problems.
• Communication: Strong written and spoken English communication skills, with the ability to explain technical concepts to small groups.
• Sales Awareness: A basic understanding of the sales process and a proactive approach to keeping technical tasks on schedule.
• Adaptability: Ability to work collaboratively and independently in a remote, cross-functional organization.
• Travel: Ability and willingness to travel.

Nice to Have:

• Graph DB related experience ie Neo4j or other Property Graph or RDF platforms.
• Data Science, AI/MLData integration: ETL, Virtualisation, federation
• BI and data visualization (Tableau, Qlik, viz libraries: D3, viz.js, Linkurious...)
  
  
  

Responsibilities:

• Develop and execute a territory plan based on target organizations and applicable use cases, resulting in a pipeline of opportunities in the target market, that will help you achieve quarterly and annual sales metrics.
• Develop expert knowledge of Neo4j solutions and applicability in the APAC Market, including Korea (Korean language proficiency is a plus)
• Develop and present to customers a strong understanding of the benefits and advantages of graph technology versus alternative database approaches.
• Execute sales cycles that employ strategic selling strategies and tactics.
• Build and present proposals for Neo4j solutions that involve Neo4j products and Services.
• Work with Pre-Sales Engineering resources to scope and deliver on well-qualified POC’s
• “Land & Expand” - Grow the business in accounts that you have landed
• Provide guidance, direction, and support to your assigned Business Development Representative in their efforts to support your pipeline development.
• Provide guidance and direction to your Field Marketing resources so they can target programs to your target accounts.
• Provide guidance and direction to Channel Director so they can target partners and programs for your target accounts.
• Maintain Neo4j Salesforce.com CRM system with accurate information about your pipeline, in accordance with Neo4j forecasting guidelines.
• Developing and fostering relationships with local public cloud partners : AWS, Google, MS Azure. 

Ideally, you should have:

• 7+ years of consistent success meeting or exceeding sales objectives selling technical solutions and software products into the enterprise market.
• Experience selling data platforms / information management tools to customers in the enterprise market, preferably in the Financial Services sector.
• Demonstrable experience executing enterprise complex sales strategies and tactics, including consultative selling, value selling, and MEDDPICC sales methodologies.
• Experience with the commercial open-source business model, selling subscriptions for on-premise deployments and/or hybrid on-prem/cloud deployments.
• Experience presenting to and managing large complex Enterprise accounts up to  C-level, across both business and technical stakeholders
• Previous experience and success in a smaller, high growth software company, where you have leveraged dedicated Business Development resources, Field Marketing resources, and Pre-Sales Engineering helping build the business.
• Knowledge of the public cloud providers tools, go to market approach and integration
• Knowledge of the data landscape, including Generative AI, databases, ETL, and no-SQL data platforms. 
• Bachelor’s degree in a relevant field
• Strong conviction and approach to how and where graph solutions fit into the enterprise marketplace.
• Be a hard-working, responsible, self-starter, with the ability to work remotely in a home-office environment, as well as travel to client sites to run meetings.
• Excellent references, ideally from previous Sales managers.
• Demonstrate attention to detail, ensuring accurate entry and management of lead data in our SalesForce.com CRM system.
• Be proficient with standard corporate productivity tools (e.g., Google Docs, MS-Office, Salesforce.com, Web-conferencing).
• Be a team player with the highest level of integrity.

Additional language skills: Korean language proficiency is a plus, particularly for supporting customers and partners in the Korea market

The Role:

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives, with opportunities to support customers and partners across APAC markets, including Korea (Korean language proficiency is a plus)

Responsibilities:

Sales Process & Customer Engagement:

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives.
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders.
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning.
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures.
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes.
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies.
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation.

Partner & Ecosystem Collaboration:

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives.
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively.
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs.
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership:

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences.

Relevant Skills and Experience:

• Deep expertise in value selling, with a strong understanding of the sales process and how to align solutions with customer business goals.
• Experience in technical discovery, consultative solutioning, and mapping customer needs to technology capabilities.
• Graph database expertise (Neo4j, OrientDB, JanusGraph, etc.), along with knowledge of relational/NoSQL databases, analytics, and data integration.
• Strong experience working with hyperscalers (AWS, Azure, GCP), including understanding of their data services and GTM strategies.
• Proficiency in Java, Python, JavaScript, Docker, Kubernetes, and cloud infrastructure technologies.
• Knowledge of data visualization tools (D3.js, Sigma.js, Linkurious, etc.).
• Excellent presentation and communication skills, capable of engaging technical teams, C-level executives, and partner organizations.
• Ability to work in fast-paced, sales-driven environments, managing multiple customer and partner engagements.
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus.
• Korean language proficiency is a plus, particularly for supporting customers and partners in the Korea market

Qualifications:

• 7+ years of pre-sales, professional services, or customer-facing technical experience.
• Bachelor’s or Master’s degree in a relevant field.
• Experience working with partners, including hyperscalers, ISVs, and system integrators.
• Ability to work independently in a cross-functional, global organization.
• Willingness to travel as needed for customer and partner engagements.

Capco Hong Kong

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking Senior Data Consultants to support and drive the growth of our Data practice, particularly in our Data Analysis / Data Modelling stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

This role sits at the intersection of ontology development, data modeling, AI engineering, and banking domain logic, enabling the creation of knowledge graphs, decision structures, and rule systems that support an enterprise‑wide AI pipeline.

KEY RESPONSIBILITIES 

SKILLS & EXPERTISE

• 6+ years of data ontology modeling experience within Financial Services
• Hands‑on experience with semantic technologies such as TURTLE (TTL), RDF, OWL, SKOS, and SPARQL.
• Strong conceptual data and ontology modeling skills, including hierarchies, constraints, vocabularies, and rule sets.
• Experience designing and working with knowledge graphs and graph platforms (e.g. Neo4j, GraphDB, Stardog, AWS Neptune).
• Proficiency in YAML for structured rule definition, configuration, and schema modeling.
• Familiarity with LLM‑enabled systems, agentic AI workflows, and retrieval‑augmented generation (RAG); experience with decision modeling, rules engines, Python, or AI‑driven automation is a strong advantage.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Who You Might Be:

• 8+ years of experience in ML infrastructure, including model training and model deployments
• Hands-on experience with ML optimization, including memory and GPU profiling
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
• Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills
• Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
• Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Who You Might Be:

• 5+ years of experience in ML infrastructure, including model training and model deployments
• Hands-on experience with ML optimization, including memory and GPU profiling
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
• Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills
• Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
• Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus

The REDAPL organization is seeking an experienced and strategic leader to oversee our Resource Graph team. REDAPL is Datadog’s main platform for tracking our customers’ infrastructure resources and relationships. REDAPL Resource Graph also plays a key role in serving Datadog’s Security products.

This position will play a critical role in driving the future of our data infrastructure and ensuring the highest level of performance and reliability for our systems. As the team is also quickly growing, you will also be involved in hiring the best candidates for this team.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Strategic Leadership: Drive the vision and strategy for the teams, ensuring alignment with the overall goals.
• Team Oversight: Provide guidance and support to the ICs in the team, fostering a collaborative and high-performing work environment.
• Technical Excellence: Ensure the teams maintain high standards of code quality, performance, and reliability across all systems and services.
• Innovation and Improvement: Identify opportunities for innovation and continuous improvement within the datastore and serving domains, promoting best practices and new technologies.
• Talent Management: Lead hiring efforts to attract and retain top talent, ensuring the growth and development of team members through mentoring and professional development opportunities.
• Cross-functional Collaboration: Work closely with other teams and stakeholders to align on priorities, address challenges, and deliver high-impact solutions.
  
  

Who You Are: 

• You have proven experience managing teams that shipped and operated business-critical systems.
• You have demonstrated ability in designing, building, and operating distributed systems to solve problems at scale.
• You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.
• Managed a team for over 2 years.
• You are an excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders.
• You are comfortable in a fast-paced, high-growth environment, able to adapt strategies and solutions in response to emerging challenges and opportunities.
• Skilled in setting team goals and prioritizing features that align with business needs.
• Effective at giving and receiving feedback, enhancing the work environment and team collaborations.
• Possess excellent teamwork, communication, and technical problem-solving skills to contribute to multidisciplinary teams.
• Demonstrated leadership in guiding teams through the full design process from concept to launch, with minimal oversight.
• Maintain a growth mindset, actively seeking learning opportunities and new challenges.
• Able to clearly articulate design decisions and strategies 
• Proven ability to envision long-term goals and focus efforts to achieve them.
• Efficient in optimizing team workflows and processes to enhance team output and collaboration.
• Known for balancing fast iteration, strategic ambiguity, and high-quality outcomes in a dynamic business environment.
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Director of Engineering, Core Database

Yugabyte is seeking an experienced and accomplished Director of Engineering to lead key aspects of our distributed SQL database development. This leader will drive the architecture, development, and delivery of core transactional, storage, and distributed systems components, ensuring YugabyteDB maintains industry-leading performance, scalability, and resilience. They will also manage and mentor our growing team.

This role requires a mix of software architecture expertise to design and implement practical solutions, as well as the ability to work closely with developers to identify patterns and tools that simplify solution building. You will lead one or more critical engineering teams focused on the heart of YugabyteDB, bringing technical depth in database internals and distributed systems to mentor and grow a world-class engineering organization.

This position demands a blend of hands-on architectural expertise, large-scale systems design, and the ability to execute against an ambitious product roadmap, with a deep understanding of transactional databases, distributed systems, and microservice-based applications.

Role and Responsibilities

• Technical Strategy & Architecture: Define and drive the technical roadmap and architecture for core database components, including the storage engine (LSM/RocksDB), transactional layer, distributed consensus (RAFT), and multi-master replication (xCluster).

• Engineering Execution: Own the end-to-end development, quality, performance, and operational excellence of your teams' components, ensuring deployment in cloud-native environments (e.g., Kubernetes).

• Team Leadership & Mentorship: Recruit, mentor, and manage high-performing engineering teams. Foster a culture of deep technical ownership, collaboration, and continuous improvement.

• Systems Scaling & Reliability: Lead projects focused on write scaling, improving concurrency (e.g., DDL concurrency), ensuring cache coherency, and achieving 99.995% availability in distributed, multi-tenant, cloud-native environments.

• Cross-Functional Collaboration: Partner closely with Product Management, Technical Leadership (TDs/CTO), and other engineering teams (Query Optimizer, QA) to define requirements and deliver integrated, impactful features.

Required Experience

The ideal candidate will have demonstrated senior leadership in domains directly applicable to distributed databases:

• Experience: 10+ years of progressive software development experience, with at least 3+ years in a Director role managing multiple teams or critical product areas.

• Database Internals Expertise: Substantial experience designing and developing core components of production-grade relational or distributed database engines (e.g., storage/access layer, buffer cache, logging, recovery, lock management, indexing, LSM).

• Distributed Systems & Cloud-Native Architectures: Proven ability to design and deliver internet-scale, highly available, multi-tenant distributed systems, leveraging technologies such as Service Fabric, distributed lock managers, distributed transaction managers, and cloud object storage.

• Core Programming Languages: Hands-on experience in systems programming languages, particularly C/C++ and Go.

• Scalability and Performance: Direct experience resolving performance bottlenecks (e.g., range scans, nested loop joins) and re-architecting systems for massive scaling (e.g., separating log/data, multi-writer architectures).

Nice-to-Have Qualifications

• YugabyteDB/PostgreSQL: Experience with PostgreSQL internals or PostgreSQL-compatible distributed databases.

• Cloud & Kubernetes: Hands-on experience with modern public cloud infrastructure and cloud-native technologies such as Kubernetes and Prometheus.

• NoSQL Databases: Familiarity with NoSQL databases.

• Open Source & Research: Contributions to open-source database projects, patents, or successfully integrating research concepts (e.g., ML-based anomaly detection) into products.

• Data Technologies: Experience with technologies common in the Yugabyte ecosystem, such as Apache Bookkeeper, Spark, Kafka, or other NoSQL/Graph databases (e.g., Neo4J).

We work in a hybrid model, with the team together in our Sunnyvale office 2–3 days per week.

We feel strongly about equal pay for equal work, and transparency in compensation is one way to help achieve that. The cash compensation for this role is market competitive, with a range of USD 220,000-USD 250,000, inclusive of variable/incentive for some roles. As well as equity (when applicable), and benefits including health plans, retirement plans, and unlimited paid time off (PTO). The pay range for this position is a general guideline only and not a guarantee of compensation or salary. The actual pay will vary based on factors including experience, qualifications, and skill level.

Due to the Proclamation, “Restriction on Entry of Certain Nonimmigrant Workers”, which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization.

#LI-Hybrid

We are seeking a driven, high-energy individual who is passionate about new business acquisition and enterprise sales within the New York City Financial Services sector. As a Senior Enterprise Account Executive, you will be responsible for executing a strategic sales plan targeting Tier-1 Banking and Global Capital Markets customers in NYC. You will focus on revenue growth and new customer acquisition, working closely with cross-functional teams to solve high-stakes challenges in fraud detection, anti-money laundering (AML), and real-time risk management.

Key Responsibilities:

• Develop and execute a strategic territory plan targeting large New York City banking institutions, focusing on mission-critical use cases to build a robust pipeline and achieve sales objectives.
• Become an expert in our product offerings and industry solutions, delivering compelling demos and proposals that articulate business value for complex financial ecosystems.
• Leverage deep knowledge of the NYC financial market to position our solutions as the best fit for customer needs, highlighting advantages over legacy relational databases and competing technologies.
• Lead complex sales cycles with a solution-based approach, employing strategic selling tactics, including the Land & Expand model, to grow high-value banking accounts.
• Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within the world's largest financial organizations.
• Provide guidance and mentorship to SDRs and Field Marketing to align on banking-specific target accounts and support pipeline development.
• Maintain accurate and up-to-date information within the CRM system, ensuring data integrity and adhering to rigorous forecasting guidelines.
• Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth within cloud-first banking initiatives.

What You Bring to the Role:

• 7+ years of proven success in enterprise software sales with a consistent track record of exceeding targets within the Financial Services Industry (FSI).
• Demonstrated experience managing complex sales processes within NYC enterprise markets, specifically focusing on Data Warehousing, AI/ML, or Fraud/Risk Management.
• Proven ability to independently develop close relationships with C-level stakeholders at major banks while managing long-term business engagements.
• Deep understanding of commercial open-source business models, including selling on-premise and secure cloud/SaaS hybrid solutions for regulated environments.
• Ability to craft and execute sales strategies tailored to the Banking and Securities industry, leveraging partner and Go-to-Market knowledge.
• Strong presentation, communication, and organizational skills with a knack for building strong business champions.
• Familiarity with sales methodologies such as MEDDIC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market.
• Experience collaborating with cross-functional teams to deliver on customer expectations, including Pre-Sales, Marketing, Customer Success, and Field Engineering resources.
• Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Professional Services, and Channel Partners.

Preferred Qualifications:

• Experience selling complex technical solutions into enterprise markets, with a focus on subscription-based models and cloud deployments.
• Knowledge of graph technology, data management tools, or other advanced data-driven technologies.
• A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (Google Docs, Salesforce, MS Office).

Job Overview:

Neo4j is seeking a Solution Engineer to support the mission of ensuring client success across its US Public Sector business, as well as uncovering and fostering opportunities for expanded use of Neo4j technology.  Neo4j Solution Engineers are customer champions who are both well-rounded experts in Neo4j best practices, as well as trusted technical advisors and advocates for Neo4j’s valued customers. 

Your primary objective is to provide oversight and needed support to ensure the technical success of Neo4j client projects, simultaneously managing multiple clients who are at varying points along their journey using Neo4j.  You will pursue key outcomes of minimizing time to value and maximizing Neo4j product adoption. Candidates should be comfortable coordinating with project deployment teams, troubleshooting and/or escalating issues associated with product deployment technical configuration, speaking with customers about their needs, and working with colleagues as part of a distributed team. 

Responsibilities:

• Establish, support and maintain positive, trusted relationships at all decision levels within assigned accounts.  Support cadence touchpoints with clients as well as communications surrounding key project milestones, providing technical guidance based on the audience expectations (e.g. Advisory Sessions, QBR, Executive Briefing, or Escalation Management).
• Serve as a solution advisor and champion for clients using Neo4j, from project onboarding, through production go-live, value realization and potentially expansion.
• Develop and leverage your Neo4j product expertise as a technical advisor, ensuring that clients apply Neo4j technology effectively as they address their project requirements.
• Review data model design and assist Cypher query tuning (SQL for graphs) to address performance needs and expand use cases.
• Efficiently troubleshoot various technical challenges associated with solution architecture, data integration, end user adoption, and application security.
• Act as a key escalation point to Neo4j product and engineering teams, to help defuse critical issues.  When necessary, replicate product behavior issues in your own working technical environment, in a way that can be shared and reviewed with non-cleared personnel.
• Serve clients as an accessible Neo4j expert who responds to client technical questions and at times proactively delivers information and informal education about product capabilities and best practices.
• Track project status, metrics and progress toward key milestones, supporting proactive advisory and consultation to customers, as well as status reporting internal stakeholders.
• Collaborate effectively with various Neo4j teams to address client issues expediently.
• Advocate within Neo4j for the customers and their product requirements, particularly with Product Management and Product Engineering.
• Educate and promote best practices for leveraging Neo4j Customer Support based on assigned customer’s unique experiences and challenges.
• Stay current on Neo4j’s portfolio of products and their capabilities.
• Contributing to internal and customer-facing reusable artifacts including KB articles, guides, best practice materials, healthcheck or other tools, CS Office Hours etc.
• Routine travel to clients sites across the Washington DC, MD and VA areas, for both status meetings and providing client office hours support.  Anticipate ~30% travel.

Essential prerequisites:

• Active TS/SCI w/ FS Poly.
• Working from home with the ability to travel on-site to customer locations.

Qualifications

• 5+ years experience in a client success, solution engineering, technical support, technical consultant or technical account management role in an enterprise software company.
• A Bachelor's degree in Business, Information Systems, Computer Science, or Engineering.
• Strong client-facing experience with exceptional relationship and trust building skills 
• Proficient in coordinating with clients, setting expectations appropriately, assessing project challenges creating resolution plans, as necessary.
• Demonstrated ability to understand requirements and processes and to articulate the technical/mission context of the Neo4j solution.
• A strategic, innovative thinker, with excellent interpersonal communication, written communication, and presentation skills.
• High level of initiative, energy, curiosity and willingness to learn new concepts and technologies. 
• Ability to work independently.

Technical Skills

• Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points.
• Consult with customers on Cypher query tuning (SQL for graphs) and data model design to address performance needs and expanding use cases.
• Ability to advise and troubleshoot client application driver connections from supported drivers in the following languages/frameworks: Java, Spring Java, JavaScript, Python, .NET, Go, JDBC.
• Efficiently troubleshoot cluster deployment issues across multiple servers, data centers, and regions, in a variety of cloud (AWS, Azure, GCP, etc), virtual, and bare metal environments.
• Possess demonstrated proficiency in Linux (primarily) and Windows (secondary) environments (#1 and #2 most common OS’s, respectively).
• Background in Neo4j Graph Platform or other database technologies (SQL, noSQL or competing graph database technologies.
• Docker, Kubernetes, or other distributed technologies and clustering.
• Experience with LLMs/GenAI in any capacity.

Overview
The R&D Engineer is a researcher-practitioner - someone equally comfortable reading papers and shipping prototypes. They are responsible for staying close to the frontier of LLM and AI systems research, identifying ideas with practical value, and building POCs that demonstrate feasibility. These POCs are demoed to the team and, where validated, handed off to the Platform and AI Engineers to productionize. This person does not work in isolation — they collaborate closely with the rest of the team throughout the research-to-product pipeline.

What You'll Do:

• Monitor and synthesize developments in LLM systems, AI infrastructure, and adjacent research areas
• Prototype and evaluate novel ideas with a fast feedback loop — build, demo, iterate
• Extend and improve the existing agent and RAG SDKs with new retrieval strategies, agent patterns, and provider integrations
• Evaluate new embedding models, reranking approaches, and retrieval architectures against the existing pipeline
• Collaborate with the Platform and AI Engineers to hand off validated POCs
• Produce clear documentation and demos that make research accessible to non-researchers
• Contribute to discussions with the tech lead on long-term research direction and where to place technical bets
• Engage with the broader research community — conferences, papers, open-source projects
• Identify opportunities where emerging techniques can address real problems surfaced by the AI Engineer

What You Bring:

• Hands-on experience building or evaluating LLM systems — fine-tuning, inference, retrieval, or agents
• Familiarity with RAG architectures beyond naive vector search — HyDE, MMR, graph-based retrieval, reranking, or hybrid search
• Exposure to agent frameworks and multi-agent orchestration patterns (PydanticAI, LangGraph, AutoGen, CrewAI, or similar)
• Demonstrated ability to move quickly from idea to working prototype
• A portfolio of explored ideas — published work, technical blog posts, side projects, or OSS contributions
• Strong communication skills — can explain complex research to non-researchers clearly
• Collaborative by default; understands that research value is realized when ideas ship
  • Core: Python, agent frameworks (PydanticAI or equivalent), RAG pipeline design (embedding, retrieval, reranking), managed ML platforms (Vertex AI or equivalent)
  • Nice to have: Systems-level programming experience, familiarity with inference infrastructure (vLLM, TensorRT), experience with RLHF or fine-tuning pipelines, MCP protocol, graph databases (Neo4j)

#LI-JH

#LI-Remote

Job Title: Knowledge Graph

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Role: Knowledge graphs

Mandatory skills: Knowledge-graph, RDF, Sparql, Neo4j

Why You'll Love This Role: 

As a Senior Site Reliability Contractor, you will be involved in coding infrastructure automation with Terraform and Github Actions CI/CD. In this role, you will focus on improving our monitoring using Datadog, Sentry, and Cloudwatch. It will be critical to improve and automate our release processes to deploy Newsela services. You will have the opportunity to develop a rapport with a domain of application developers to improve infrastructure and monitoring for Newsela services in their ownership

What You'll Be Doing:

• Be on an on-call rotation to respond to incidents that impact Newsela.com availability and provide support for developers during internal and external incidents 
• Maintain and assist in extending our infrastructure with Terraform, Github Actions CI/CD, Prefect, and AWS services
• Build monitoring that alerts on symptoms rather than outages using Datadog, Sentry and CloudWatch
• Look for ways to turn repeatable manual actions into automations to reduce on-call toil
• Improve operational processes (such as deployments, releases, migrations, etc) to make them run seamlessly with fault tolerance in mind 
• Design, build and maintain core cloud infrastructure on AWS and GCP that enables scaling to support thousands of concurrent users
• Debug production issues across services and levels of the stack 
• Provide infrastructure and architectural planning support as an embedded team member within a domain of Newsela’s application developers 
• Plan the growth of Newsela’s infrastructure 

About You:

• Technical

  • Infrastructure as code: use Terraform and Github CI/CD for automation, containerize our environments (Docker, ECS), and leverage cloud technologies to meet our goals
  • Systems: manage, configure and troubleshoot operating system issues, storage (block and object), networking (VPCs, proxies and CDNs), and administer high-availability datastores (mySQL, Postgres, Neo4J) and Redis clusters
  • Monitoring and instrumentation: implement metrics in Datadog, Sentry, log management and related systems, and Slack/JIRA integrations
  • Engineering practices: availability, reliability and scalability, as well as disaster recovery
  • Work in a variety of languages: Shell, IaC, Python, SQL

  Execution

  • Planning: familiarity with agile methodologies; use epics, issues to drive projects
  • Organization: personal and team workload organization, OKR leadership
  • Management: able to self-organize and accomplish tasks asynchronously

  Collaboration and Communication

  • Leading and contributing to scope and designs for issues, epics, and OKRs
  • Contributing to Newsela architecture diagrams, process diagrams and runbook documentation
  • Completing Root Cause Analysis (RCA) investigations and perform readiness reviews
  • Improving team practices through code reviews, handoffs of work and incidents

  Influence and Maturity

  • Knowledge sharing, mentoring within SRE and developer teams
  • Self-awareness, handling conflict in the team, providing and receiving feedback
  • Maintaining good relationships with other engineering teams at Newsela that help improve the product
  • Accountability: willing to proactively step in and do the right thing while providing candid and constructive feedback
  •  

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.

Why you’ll love working at Newsela:

• Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. 
• Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!
• Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! 
• Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.
• Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).
• Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela.
• Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:
• Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
• Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
• Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
• Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
• Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
• Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
• Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
• Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

Back in 2012, we were a group of engineers and designers who decided we wanted to build things—so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition. 

Now, we’re entering our next chapter—defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

This position is 100% remote within LatAm.

What you’ll be doing

We are seeking someone who views the Knowledge Graph not just as a database, but as a living organism that requires constant care, feeding, and pruning. You understand that a RAG system is only as good as the data underlying it. You are intrigued by the complexity of ingesting massive, messy datasets and transforming them into clean, connected knowledge.

In short, someone who likes:

• Architecting Graph ETL: Designing and developing robust ETL pipelines specifically for graph ingestion. You aren't just dumping rows into tables; you are determining how disparate data sources connect, evolve, and relate in a graph structure.
• Data Ingestion at Scale: Managing high-volume data streams using tools like Kafka and implementing CDC (Change Data Capture) patterns to ensure the graph reflects real-time reality.
• Automated Graph Hygiene: Writing scripts and jobs for deduplication, orphan node detection, and data consistency checks. You take pride in a clean schema.
• Modeling Time: Handling complex temporal relationships (e.g., how property ownership or financial status changes over time) within the graph.
• Performance Tuning: Ensuring that as the graph grows (25k+ reports and beyond), the underlying query performance remains snappy through optimizing indexes and storage.

What we’re looking for

We want to work with people who have a passion for collaborating with their teams, building software while nurturing inclusive and respectful relationships with their coworkers. With the ones that are open about their shortcomings and what they do not know now, but remain eager to keep on growing and closing those gaps.

Ideally, they would also have:

• Neo4j Expertise (Must Have): 4+ years of hands-on experience. You master Cypher, schema design, and the operational side of managing a production graph.
• ETL & Pipeline Mastery: Strong background in building data pipelines. You know how to take raw data, clean it, and structure it for graph ingestion.
• Streaming & CDC: Familiarity with event streaming platforms like Kafka and Change Data Capture methodologies to sync operational databases with the graph.
• Python Proficiency: Strong Python skills for writing ingestion scripts, maintenance jobs, and custom graph algorithms.
• Data Integrity Focus: Experience implementing automated jobs for entity resolution, deduplication, and quality assurance.

Nice-to-Have:

• C# Knowledge: Ability to read or contribute to C# codebases.
• Domain Experience: Prior work in Finance or Real Estate sectors.

Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.

This position is 100% remote within LatAm. Strong verbal and written communication skills in English are a requirement. As a team member, you can expect:

• To work 40 hours per week, and be available during normal business hours as needed
• Payments made in USD
• 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years
• A monthly wellness stipend and snack boxes delivered to your home

About Able

Able builds technology products in a portfolio model. We believe that people, teams, and processes are more important than the ideas themselves, so we’ve focused on bringing great people together, and investing in their growth.

We’ve built products in a variety of industries. Everything from media to finance to toys to healthcare. Sometimes we work with management teams to help their businesses grow faster or unlock value using technology. Other times we start or buy businesses outright. Each time, we look for opportunities to leverage technology built at the portfolio-level to drive value faster.

Able is committed to inclusion and diversity and is an equal-opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.

This is but the beginning of a conversation we’d love to have with you.

Apply, and let’s get this adventure started!

Joining Collibra’s Platform Infrastructure Engineering team

Collibra's Platform Infrastructure Engineering team is responsible for the essential cloud foundation underpinning all Collibra products, reporting directly to the Senior Manager, Platform Infrastructure Engineering. Your work is vital to evolving our multi-cloud platform infrastructure strategy. You will optimize our use of Kubernetes, IaC (Terraform/Helm), and Golang automation to ensure maximum operational efficiency and resilience for Collibra. We are a geographically diverse team guided by our value of Embracing and Driving Change, which translates into a team that never settles long for good enough, offering you a dynamic environment to advance your technical skills and make a tangible difference.

This is a remote role based in UK or Europe.

Staff Platform Engineers at Collibra are responsible for

• Lead the design and evolution of the cloud platform across AWS and GCP (Kubernetes, networking, and core infrastructure) in order to enable product teams to build, deploy, and operate services with speed, consistency, and minimal friction
• Build and standardize platform capabilities (CI/CD, observability, service templates, and golden paths) in order to reduce cognitive load and accelerate developer productivity across the organization
• Develop and operate shared data platform services (operators in Go, Kafka, Neo4j, and related infrastructure) in order to provide scalable, reliable, and self-service data capabilities for product and analytics teams
• Partner with product engineering, security, and SRE teams in order to drive adoption of platform best practices and ensure secure, compliant, and resilient architectures across AWS and GCP
• Mentor other engineers, champion technical excellence, and drive cloud cost optimization through automation.

You have

• Production experience managing infrastructure on a major cloud platform (AWS or GCP).
• Hands-on experience operating Kubernetes and service mesh technologies (preferably Istio).
• Strong understanding of cloud networking concepts (VPCs, routing, load balancing, WAFs, network policies).
• Proven experience with Infrastructure as Code (Terraform) and software development in Golang.
• Experience managing or supporting the underlying infrastructure for stateful applications (e.g., databases like GraphDB, kafka) on cloud platforms.
• Familiarity with cloud security principles (IAM, security groups).
• A bachelor’s degree or equivalent working experience.

You are

• Critical thinker who skillfully analyzes complex distributed systems, including intricate network flows.
• A proactive learner, curious about evolving technologies in cloud, container orchestration, and service mesh.
• Open-minded and approach problems from an assumption of positive intent and demonstrate emotional intelligence.
• Able to communicate complex technical concepts clearly to diverse audiences and identify opportunities for simplification and automation.
• Able to work with a high degree of care and independence.

Measures of Success

• Within your first month: you will Integrate with the team, understand our architecture, and make your first platform contribution.
• Within your third month: Build strong familiarity with the platform, team workflows, and shared services in order to begin contributing to well-defined platform improvements with guidance
• Within your sixth month: Independently deliver production-ready improvements to the internal developer platform and shared services in order to demonstrate ownership, sound technical judgment, and alignment with organizational standards

Opportunity

Get Well is seeking an experienced and highly motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform that powers AI, analytics, and clinical applications. You will play a key role in developing scalable, compliant data infrastructure and pipelines designed specifically for the healthcare domain, while mentoring junior engineers and leading cross-functional initiatives to drive innovation.

This is a hands-on engineering role suitable for someone who thrives at the intersection of modern data engineering, cloud-native platforms, DevOps, healthcare data, and AI enablement.  Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines supporting batch and real-time use cases.
• Develop and maintain production-grade data workflows that move and transform sensitive healthcare data across distributed systems at scale.
• Work with Spark, Databricks, Airflow/Temporal, and dbt to ingest, process, and manage structured and unstructured data.
• Design and implement reusable, efficient data models for analytics and AI/ML use cases.
• Ensure platform resiliency using CI/CD pipelines, observability tools, and logging frameworks.
• Leverage Infrastructure as Code practices using Terraform, CloudFormation, or equivalent to manage cloud resources.

Healthcare Data Integration & Compliance

• Ingest and normalize complex healthcare data sets (FHIR, HL7, CCDA, Claims, EDI, Epic/Clarity, etc.).
• Familiarity with clinical coding systems and ontologies, such as ICD-10, SNOMED CT, LOINC, or RxNorm.
• Collaborate with compliance and security teams to ensure adherence to HIPAA, GDPR, and internal controls.
• Implement fine-grained access control, encryption at rest and in transit, audit logging, and data lineage strategies.

AI & GenAI Enablement

• Work alongside AI/ML and data science teams to build pipelines feeding predictive and generative models.
• Tune data infrastructure for performance across distributed systems and hybrid data stores like SQL, MongoDB, ClickHouse.
• Prioritize scalability and flexibility in designing LLM-compatible pipelines and use GenAI best practices for healthcare use cases.
• Utilize Spark clusters and query frameworks such as SparkSQL and SPARQL for large-scale data access.
• Utilize and manage graph databases (e.g., Neo4j, Amazon Neptune, or similar) to support complex relationship modeling and healthcare data connectivity use cases.
• Enable high-quality training data pipelines and implement feature stores and model serving systems.

Data Governance, Quality & Monitoring

• Implement data quality frameworks and establish robust validation processes using tools such as Great Expectations or equivalent.
• Build automated anomaly detection tools for data drift and integrity checks.
• Support data cataloging, metadata management, and ensure consistent documentation across datasets.

Collaboration, Mentorship & Leadership

• Act as a mentor to junior engineers through code reviews, paired programming, and technical guidance.
• Lead cross-functional projects with teams including clinical informatics, architecture, security, product, and design.
• Contribute to and enforce data engineering best practices, patterns, and platform standardization.

Learning and Innovation

• Research and evaluate emerging tools and frameworks (e.g., Apache Iceberg, Delta Lake) for incorporation into the platform.
• Proactively identify opportunities to improve architecture and leverage evolving trends in GenAI and cloud-native computing.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8–12 years of experience in software or data engineering roles including at least 3 years working with large-scale or cloud-native data systems.
• Must have prior software development experience in the healthcare domain—including payers, providers, health tech, medical devices, or life sciences.
• Functional knowledge and direct experience with healthcare data types (FHIR, HL7, Claims, EDI, Epic/Clarity, etc.).
• Demonstrated experience in designing, implementing, and maintaining data pipelines that move and transform healthcare data with production-level quality, reliability, and performance.

Technical Skills

• Advanced programming experience in Python, SQL, and distributed processing with Apache Spark.
• Cloud-native platform experience with Azure.
• Proven capability with Infrastructure as Code (Terraform, CloudFormation) strongly preferred.
• Experience with data warehouses and lakes including Snowflake, Databricks, and ClickHouse.
• Familiarity working with GenAI tools and ML pipelines in production environments.
• Strong skills in data modeling, job orchestration (Airflow), data transformation (dbt), and pipeline optimization.
• Experience with DevOps/tooling stacks for CI/CD, containerization, observability, and cost optimization.
• Familiarity with data validation and anomaly detection tools such as Great Expectations.
• Experience with SparkSQL and SPARQL is a plus.

Professional Attributes

• Excellent communication and collaboration skills across cross-functional, domain, and technical stakeholders.
• Ability to lead initiatives and drive data engineering standards.
• Self-driven, with a commitment to delivering high-quality solutions in regulated and sensitive environments.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

The Role: 

As a Senior Solutions Engineer, you will be a key driver of Neo4j’s growth by articulating business value, shaping solutions that address customer needs, and accelerating adoption within enterprises. You will engage in deep technical and business discovery, support the sales process through value-based selling, and collaborate with key partners, including hyperscalers (AWS, Azure, GCP) and strategic ISVs to drive joint go-to-market (GTM) initiatives. 

Responsibilities: 

Sales Process & Customer Engagement: 

• Lead technical discovery to understand customer challenges, pain points, and success criteria, ensuring solutions align with business objectives. 
• Drive value-based selling, clearly articulating Neo4j’s unique differentiators and ROI to both technical and business stakeholders. 
• Own the pre-sales engagement, delivering impactful presentations, live demonstrations, and competitive positioning. 
• Map customer requirements to relevant Neo4j product capabilities, using whiteboarding, workshops, and tailored solution architectures. 
• Develop proof-of-value (PoV) demonstrations and prototypes that showcase tangible business outcomes. 
• Work closely with the sales team to support deal qualification, opportunity progression, and conversion strategies. 
• Ensure smooth handoff to Professional Services, providing knowledge transfer to consulting teams and industry partners for successful implementation. 

Partner & Ecosystem Collaboration: 

• Work closely with key partners, including hyperscalers (AWS, Azure, GCP), ISVs, and system integrators, to drive joint solutions and co-sell initiatives. 
• Develop and deliver enablement programs for Neo4j’s strategic partners, ensuring they have the technical skills and sales acumen to position Neo4j effectively. 
• Collaborate on GTM strategies, helping design solutions that leverage hyperscaler services (e.g., AWS Neptune, Azure Cosmos DB, Google BigQuery) in combination with Neo4j to meet customer needs. 
• Engage with partner sales and technical teams to drive adoption, influence deal cycles, and execute joint marketing initiatives.

Community & Thought Leadership: 

• Support local marketing events, user groups, and Neo4j Community initiatives.
• Contribute to Neo4j’s thought leadership, delivering webinars, writing technical blogs, and speaking at industry conferences. 

Relevant Skills and Experience: 

• Strong value-based technical selling skills, aligning solutions to clear business outcomes and ROI
• Experience in technical discovery and consultative solutioning
• Solid understanding of data platforms and AI/ML (including LLMs and AI agents), with the ability to operationalise them in enterprise environments
• Proficiency in SQL, Python, and cloud technologies (AWS, Azure, GCP), with familiarity in containerisation (Docker) and Kubernetes
• Familiarity with data visualisation tools (BI, D3.js, Sigma.js, Linkurious)
• Strong communication skills across technical teams, executives, and partners
• Ability to operate in fast-paced, sales-driven environments with multiple engagements
• Experience with graph databases (Neo4j, Neptune, ArangoDB or similar) is a plus
• Industry experience in Financial Services, Retail, Government, Security, or Telecommunications is a plus

Qualifications: 

• 7 - 10 years of pre-sales, consulting, or customer-facing technical experience. 
• Bachelor’s or Master’s degree in a relevant field. 
• Experience working with partners, including hyperscalers, ISVs, and system integrators. 
• Ability to work independently in a cross-functional, global organisation.
•  Willingness to travel as needed for customer and partner engagements.

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

Role Overview

ID.me is seeking a Principal Tech Lead Manager (TLM) to lead the engineering teams responsible for two foundational platform domains: the Organization Platform and the Data Acquisition & Normalization team. Together, these teams define how organizations are represented, validated, and trusted within ID.me's Identity Trust Graph — and how the attribute data powering those trust decisions is acquired, normalized, and kept current.

The Organization Platform team owns the APIs and services that create, validate, and manage organization records, applications, domain verification, business onboarding, and org-to-org relationships. This is the authoritative source of truth for how businesses and institutions are represented across ID.me's ecosystem — powering developer portal adoption, partner integrations, and downstream identity workflows.

The Data Acquisition & Normalization team is the execution arm of the Identity Trust Graph — building and operating connectors to authoritative and commercial data sources (government registries, telcos, licensing authorities, commercial data providers), normalizing heterogeneous data into clean schemas, and feeding validated attributes into the trust graph at internet scale.

As a TLM at the Principal level, you will be accountable for the technical architecture, delivery, reliability, and operational health of both platforms, as well as the growth and performance of the engineers delivering them. You will partner closely with Product, Security, Compliance, and enterprise stakeholders to drive a roadmap that balances velocity with the rigor these domains demand.

This position will be based full-time in our Mountain View, CA office five days per week.

Key Responsibilities

• Define and evolve the technical architecture for the Organization Platform — including Organizations API, Applications API, Domain Validation, Business Onboarding, RBAC, AI-driven org validation, and workflow engine services.
• Own the architecture and operational strategy for the Data Acquisition & Normalization platform — including source connectors, normalization pipelines, and validation event delivery to downstream consumers.
• Champion API-first, platform-first design across both teams — ensuring services are developer-friendly, well-documented, versioned, and built for long-term interoperability.
• Drive roadmap delivery across both teams — setting priorities, removing blockers, and ensuring high-quality, well-tested software ships on time.
• Build a team culture of ownership, technical rigor, continuous improvement, and high-quality code.
• Mentor senior and staff engineers, developing the next generation of technical leaders within the org.
• Serve as the technical bridge between Engineering, Product, Legal/Compliance, Security, and enterprise customer teams across both domains.
• Provide technical input into team and org-level planning, influencing roadmap prioritization based on platform capabilities and constraints.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 10+ years of software engineering experience, with at least 3 years in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers.
• 5+ years of experience building and operating secure, scalable backend APIs and distributed systems (Java, Go, Ruby, Python, or similar).
• 5+ years of experience building and operating data pipelines, API integrations, or ETL/normalization systems at scale.

Preferred Qualifications

• Master's degree in Computer Science or a related technical field.
• Deep familiarity with data privacy, security, and compliance considerations in products that handle sensitive personal or organizational data.
• Proven track record collaborating cross-functionally with Product, Legal/Compliance, Security, and business stakeholders to deliver complex programs.
• Strong communication skills with the ability to represent engineering decisions clearly to both technical and non-technical audiences.
• Experience building or managing organization identity, business verification, or entity attribute platforms at scale.
• Familiarity with data acquisition patterns including screen scraping, REST/SOAP integrations, batch data flows, and normalization pipelines.
• Experience with AI-driven validation, profiling, or classification systems integrated into production data pipelines.
• Hands-on experience with OAuth2, OpenID Connect, SAML, and enterprise SSO in the context of B2B integrations or developer onboarding.
• Experience with graph databases (e.g., Neo4j) and modeling entity-attribute relationships at scale.
• Experience with cloud-native infrastructure (AWS, GCP, or Azure), container orchestration (Kubernetes, GKE), and infrastructure-as-code.
• Bonus: Experience at a FinTech, identity, data aggregation, or developer platform company (e.g., Plaid, Yodlee, Okta, Twilio).

About ID.me

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

Who We're Looking For - Senior Data Engineer

As a Senior Data Engineer you will be responsible for developing software solutions that support the Data Platform, Analytics, and Digital Transformation initiatives at Clearlink through a multi-disciplinary approach including elements of Software Development, applied Data Science, and Big Data. Additionally, the Senior Data Engineer is responsible for developing and maintaining Big Data pipelines that provide enterprise access to company data and guides more junior team members.

The Impact You Will Make

• Adheres to Clearlink policies on ethics and integrity.
• Under minimal supervision, develops software applications in varied and challenging technical domains and takes ownership over multiple assigned projects on a technical level; programming specializations include real time streaming, Web-based user interfaces, data visualization, PCI security, cloud services, multi-media, Artificial Intelligence, and Machine Learning.
• Leverages Data Science tools and techniques to provide business insights from large, unstructured datasets.
• Assembles and analyzes large, complex datasets that meet business requirements.
• Builds the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using relational, document, graph, and data lake technologies.
• Models problem domains in relational, document, and graph technologies as required.
• Creates data tools for analytics and data scientist team members.
• Works with architects/software development and UX teams to develop processes and applications.
• Creates, evaluates, and deploys machine learning models to provide real-time predictions to improve business processes.
• Creates programming modules and performs software development tasks (design, development, testing, maintenance) as part of a development team.
• Creates websites, web-based dashboards, and data visualizations that enhance the organization’s ability to understand data and make decisions.
• Builds analytics tools that interface to a data pipeline to provide actionable insights into key business performance metrics.
• Creates scripts, jobs, monitors, and interfaces to facilitate deployment and productization of applications and solutions.
• Implements internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Creates functional and technical documentation including dashboard design specifications, operating manuals, release notes, and security requirements for reports created and maintained.
• Performs quality assurance testing of User Interfaces, Application interfaces, code and processes.
• Analyzes, troubleshoots, and solves development and production software

What You Bring

• MINIMUM Education Requirement: Master's degree in Computer Science, MIS, Information Systems, Engineering (any), or related field.
• MINIMUM Experience Requirement: Three (3) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Education/Experience Requirement: Bachelor's degree in Computer Science, MIS, Information Systems, Engineering (any), related field, and five (5) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Requirement: Seven (7) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• Big Data, Machine Learning, AI, and Analytical Technologies.
• Enterprise and web-based software development and experience creating and deploying enterprise applications.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.
• Experience with Object Oriented/Programmatic ETL/Data Integration Workflow Management Services
• Experience in fintech related work (managing and building out comprehensive finance kpis, financial data pipelines, applying financials to operational / transactional events and financial data sets)
• Experience in web development technologies including in one or more of the following: HTML, JavaScript, jQuery, or GraphQL
• SQL
• Experience in one or more web application platforms (e.g., Flask, ASP).
• Experience in Application development in one or more of the following: Python, R, C#, java, JavaScript, Golang.
• Solving problems using Analytical and Data Science methods: modeling, clustering, Machine Learning, AI, and others.
• Application and Data Security.
• Experience with cloud services: Data Lake, Enterprise Queues, Machine Learning, AI, DevOps, etc.
• Streaming Technologies.
• Experience with relational SQL, NoSQL, and Graph databases such as Neo4j, Document DB, and
  others.

Perks That Set Us Apart

• 🩺 Healthcare: We offer low-cost, competitive health coverage (domestic partners included!) with employer-paid counseling services.
• 💰 Invest in the Future: Enjoy 401(k) matching after just two months of employment, with employer matching starting at ~3%.
• 🧘‍♀️ Lifestyle Spending Stipends: Access an employer-paid spending account for physical, financial, and emotional wellbeing expenses.
• 🏝️ Flexible Time Off: We offer competitive time-off balances that accrue weekly, just like your paycheck. (Yes, we’re paid weekly too!)
• 👶🏻 Parental Leave: We provide 2 weeks of paid parental leave during the first year and up to 9 weeks after one year of employment.
• ✈️ Generous Paid Holidays: Celebrate cultural diversity with additional flex holidays in addition to our company paid holidays.
• 🧑‍💻 Flex Schedule: This is a hybrid role. Expect in-office collaboration on Tuesdays and Thursdays, with Wednesdays designated as a flex day based on team and manager needs. Remaining workdays are remote, depending on role requirements.
• 🛟 Comprehensive Life Insurance: Ensure peace of mind with coverage that extends beyond the workplace with employer paid life insurance (including coverage for dependents and spouses).
• 🤝 Employee Resource Groups (ERGs): Join us in fostering connections, celebrating diversity, and providing a supportive community for all.

At Clearlink, we go beyond the basics, ensuring your experience with us is not just professionally fulfilling but personally enriching too.

Interviewing at Clearlink

We know interviews can be stressful. Here are some stages you can expect from a typical interview with Clearlink. 

• Once your application is submitted, we will review it and be in touch
• 30-min phone call with the Recruiting Team
• 30-min - 1 hour interview with the Hiring Manager
• 30-min - 1 hour interview with a Clearlink Panel

Some interview processes can vary, depending on the role. Your recruiter will give you a role-specific interview process during your first phone call.

#LI-SW1
#LI-Hybrid

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Network Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Seeking an experienced Network Engineer that will be responsible for managing and maintaining the organization's complex and secure network infrastructure. Must have at least 5 years of experience with configuring Cisco IOS and/or Cisco NX-OS in a datacenter environment including experience configuring VLANs, Routing, and security settings.  Experience in top of rack configurations and storage area network configuration is preferred but not required. Has experience with Cisco implementations who can optimize network processing and operations. Ability to work independently as well as be a part of an agile team to transform the client's hybrid cloud platform.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years of experience with:
• Configuring Cisco IOS and/or Cisco NX-OS in a data center environment
• Experience with VLANs, routing and security settings
• Cisco implementations, network processing and operations

At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses their critical business needs.  Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j technology, and support customers in an advisory capacity throughout their journey to value realization.  SE’s work with organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought leader in graphs and solve our customers’ high-value problems beyond traditional data solutions.

What Success Looks Like:

• Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences.
• Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j.
• Collaborating effectively with Sales, Professional Services, Partners, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey.

What You’ll Do:

• Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services
• Actively drive and run the technology evaluation stage of the sales cycles.
• Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria.
• Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j.
• Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment.
• Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services.
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales.
• Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows.
• Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement.
• Travel as needed to assist in deal creation and closure, and provide support to your team as required.

What You’ll Bring:

• 5+ years of customer-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment.
• Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture.
• Familiarity with graph data technology is essential.  Working knowledge of Neo4j is a strong plus!
• Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript, Go, C#.
• Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise.
• Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations.
• Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes.
• Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management.
• An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve.

SOFTWARE ENGINEER, DESIGN SOFTWARE (STARSHIP) 

Starship is SpaceX’s next generation launch platform that will take humans to the Moon, Mars, and beyond. It is designed to be cost-effective, mass manufacturable, and rapidly reusable. As a Software Engineer on the Design Software team, you will be responsible for building and maintaining software used by our engineers to aid in the creation, analysis, and distribution of design data. This includes mesh processing, 3D graphics rendering, flight simulations, and wearables (iPad/iPhone/etc.) applications. This is a high-autonomy role that will require building close relationships with engineering and technical staff to understand issues, and coming up with software solutions interfacing with external APIs or hardware. We are looking for people who like to own a problem from start to finish in a high-responsibility and low-micromanagement environment!

RESPONSIBILITIES:

• Develop highly reliable software solutions that are used across SpaceX
• Create new applications that improve how SpaceX operates
• Build prototypes to prove out key design concepts and quantify technical constraints
• Own all aspects of software engineering and product development
• Deep dive into your users’ problems to find and create efficient solutions
• Bring your voice to the table in team collaborations on architecture, design, and code reviews
• Integrate electronics design software to manufacturing equipment

BASIC QUALIFICATIONS:

• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• 1+ years of experience in full stack development

PREFERRED SKILLS AND EXPERIENCE:

• Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language
• 1+ years of rigorous experience building single page web applications
• Experience with version control, continuous integration, and continuous delivery concepts
• Expertise in designing software systems
• Deep understanding of testing, continuous integration, build, deployment & monitoring
• Expertise in profiling and improving application performance
• Experience with build systems (Make, Bazel/Pants/Buck, Gradle) and package management tools (pip, npm)
• Experience working with in-stream data processing using Apache Kafka, RabbitMQ, ActiveMQ, or similar technologies
• Production experience with Docker and Kubernetes
• Front-end experience in Angular, React, or similar JavaScript framework
• Database experience with PostgreSQL, SQL Server, or similar database technologies
• Graph experience with Neo4j or similar technologies
• 3D Graphics experience with three.js, OpenGL, Vulkan, Unreal Engine, or other similar frameworks
• Experience integrating third-party CAD Software (NX, Altium, Xpedition, etc.)

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours/weekends as needed dependent on launch cadence

SOFTWARE ENGINEER, DESIGN SOFTWARE (STARSHIP) 

Starship is SpaceX’s next generation launch platform that will take humans to the Moon, Mars, and beyond. It is designed to be cost-effective, mass manufacturable, and rapidly reusable. As a Software Engineer on the Design Software team, you will be responsible for building and maintaining software used by our engineers to aid in the creation, analysis, and distribution of design data. This includes mesh processing, 3D graphics rendering, flight simulations, and wearables (iPad/iPhone/etc.) applications. This is a high-autonomy role that will require building close relationships with engineering and technical staff to understand issues, and coming up with software solutions interfacing with external APIs or hardware. We are looking for people who like to own a problem from start to finish in a high-responsibility and low-micromanagement environment!

RESPONSIBILITIES:

• Develop highly reliable software solutions that are used across SpaceX
• Create new applications that improve how SpaceX operates
• Build prototypes to prove out key design concepts and quantify technical constraints
• Own all aspects of software engineering and product development
• Deep dive into your users’ problems to find and create efficient solutions
• Bring your voice to the table in team collaborations on architecture, design, and code reviews
• Integrate electronics design software to manufacturing equipment

BASIC QUALIFICATIONS:

• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• 1+ years of experience in full stack development

PREFERRED SKILLS AND EXPERIENCE:

• Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language
• 1+ years of rigorous experience building single page web applications
• Experience with version control, continuous integration, and continuous delivery concepts
• Expertise in designing software systems
• Deep understanding of testing, continuous integration, build, deployment & monitoring
• Expertise in profiling and improving application performance
• Experience with build systems (Make, Bazel/Pants/Buck, Gradle) and package management tools (pip, npm)
• Experience working with in-stream data processing using Apache Kafka, RabbitMQ, ActiveMQ, or similar technologies
• Production experience with Docker and Kubernetes
• Front-end experience in Angular, React, or similar JavaScript framework
• Database experience with PostgreSQL, SQL Server, or similar database technologies
• Graph experience with Neo4j or similar technologies
• 3D Graphics experience with three.js, OpenGL, Vulkan, Unreal Engine, or other similar frameworks
• Experience integrating third-party CAD Software (NX, Altium, Xpedition, etc.)

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours/weekends as needed dependent on launch cadence

COMPENSATION AND BENEFITS:

Pay range:    
Software Engineering/Level I: $125,000.00 - $145,000.00/per year    
Software Engineering/Level II: $145,000.00 - $175,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

Job Summary/Objective:

As the Director, Commercial Sales at Neo4j, you will play a pivotal role in driving growth, sales strategy, and revenue generation targeting Digital Native and Commercial Accounts across the United States. In this role, you will lead and mentor a team of Account Executives, overseeing the development and execution of sales initiatives, client relationships, and strategic partnerships. This role offers a unique opportunity to shape the graph database landscape, influence industries, and drive innovation.

This is a remote position, but this new hire must be based in the Greater San Francisco Bay, or Chicago areas. 

Responsibilities and Duties:

• Lead and manage a team of Account Executives, providing guidance, support, and mentorship
• Develop and execute sales strategies to drive new business acquisition and expand existing customer relationships nationally. 
• Drive team performance and productivity, ensuring sales targets and objectives are met and exceeded
• Build and maintain strong relationships with key clients, executives, and stakeholders
• Navigate complex sales processes and contract negotiations for large deals
• Collaborate with cross-functional teams to achieve overall business goals
• Drive revenue growth and contribute to the company's success in a high-growth environment
• Leverage your customer-facing skills to engage effectively with executives 
• Utilize familiarity with cloud service providers, channel partnerships, and knowledge of Database as a Service (DBaaS) and the broader database market to explore growth opportunities

Priorities:

• Implement metrics, systems, and processes to scale a product sales organization (playbooks, systems, KPIs, comp plans, team operations, forecasting, etc.)
• Establish a foundation for a scalable enterprise selling motion
• Streamline the top of the funnel and scale the sales process through operational efficiency
• Drive net new and expansion growth by leveraging Neo4j's suite of new products to create profitable markets

Qualifications and Requirements:

• 5+ years of experience in a Management role in Enterprise SaaS sales
• 3+ years of experience managing digital native accounts 
• Experience in selling database products
• Proven track record of success in driving new business and expanding existing customer base
• Demonstrated success in building, hiring, and scaling large enterprise sales teams
• Experience operating in a high-growth business environment
• Excellent customer-facing skills, with the ability to establish and maintain strong relationships
• Proficiency in navigating complex contract structures and handling large seven-figure deals
• Strong history of quota attainment and exceptional performance within a high-achieving team

Bonus Areas:

• Familiarity or proficiency with cloud service providers and channel partnerships
• Knowledge of Database as a Service (DBaaS) and the broader database market

About the Role

Workato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:

Mandate 1 – AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.

Mandate 2 – Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.

This is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code.

Workato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.

Responsibilities

AI Field Specialist

• Support as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.
• Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
• Advise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
• Build reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.
• Develop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.
• Partner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.
• Support global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.
• May require up to 20% global travel.

Agentic CS Platform

• Architect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
• Design and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.
• Implement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.
• Define and design infrastructure architecture to ensure optimal performance and latency.
• Take scalable technology selection decisions.
• Establish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).

Requirements

Qualifications & Experience

• B.Tech/BE or higher in Computer Science, Engineering, or related field. 
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation.
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.

Applied AI & Agent Architecture (Must-Have)

• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.
• Experience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs.
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration.

Integration & Enterprise Architecture (Must-Have)

• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.

Nice-to-Have

• Background in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.
• Prior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.
• Contributions to open-source AI/agent projects or published technical content in the applied AI space.

General Soft Skills

• Exceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.
• Strong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.
• Entrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.
• Collaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.
• Excellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.
• Fast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.

(REQ ID: 2216)

About the Role

As the Program Manager of Technical Enablement, you will be responsible for designing, executing, and continuously improving technical enablement programs across the Field Engineering organization (Solution Engineering & Professional Services)

You will partner closely with Graph Academy (which owns core curriculum), product and engineering SMEs, and go-to-market teams to translate technical content into engaging, scalable enablement programs.

This role is both strategic and execution-focused. You will own the design and delivery of structured onboarding, upskilling, and certification programs that build practitioner-level technical competence, not just awareness.

You will act as a trusted partner to technical leadership, ensuring that enablement programs directly support product evolution, technical strategy, and field execution.

Your mission: Drive practitioner-level competence (not just awareness) across audiences by building structured onboarding, upskilling, and certification programs. You’ll be a program owner, stakeholder wrangler, and execution driver.

This is a remote role with a preference to be based in the Eastern Time Zone. 

Key Responsibilities

Technical Curriculum & Program Development

• Build and own enablement programs onboarding, hands-on workshop & labs, virtual training, certification tracks, etc. ) 
• Translate curriculum into program flows, sequencing, prerequisites, assessments, and transitions (e.g. “Beginner → - Intermediate – Practitioner → Expert).
• Own the calendar and manage program launches, iterations, refreshes, 

Onboarding & Continuous Learning

• Lead onboarding for field engineering new hires, ensuring technical hires ramp quickly and confidently in customer-facing scenarios.
• Maintain an “everboarding” / continuous learning roadmap to keep all technical audiences current (product updates, architectural patterns, best practices).
• Create and curate enablement assets (labs, guides, playbooks) in collaboration with SMEs and Graph Academy.
• Ensure internal technical enablement curricula remain aligned with product and architectural evolution.

Stakeholder Engagement & Cross‑Functional Alignment

• Serve as a trusted partner to field engineering, graph academy, and product teams to understand their challenges, gaps, and enablement needs.
• Solicit feedback, iterate, and adapt enablement offerings.
• Drive alignment with leadership on prioritization, resource trade‑offs, and roadmap.
• Act as liaison between subject matter experts and delivery teams to ensure curriculum is relevant, up-to-date, and technically accurate.
• Success in this role requires earning a seat at the table with technical leaders and influencing the enablement strategy

Metrics, Measurement & Continuous Improvement

• Define and track meaningful KPIs (e.g., time-to-proficiency, assessment scores, certification pass rates, adoption rates, program attendance, stakeholder satisfaction, business impact).
• Conduct retrospectives and root-cause analyses when programs underperform.
• Produce dashboards and regular reports to senior leadership and stakeholders.
• Apply data to iterate and improve future enablement cycles.

Technical Fluency & Facilitation

• Maintain hands-on technical depth to review content, question assumptions, and confidently engage with SMEs.
• Facilitate or co-facilitate training sessions, workshops, or lab walkthroughs.
• Help “stress-test” curriculum — ensure it’s not just theory but grounded in real-world practices.

Leadership, Initiative & Execution

• Be a self-starter: able to operate with minimal direction, identify gaps, propose solutions, and drive to completion.
• Be resourceful — work across constraints, resolve conflicts, negotiate dependencies, and unblock the path forward.
• Champion a culture of learning, feedback, and continuous improvement within the technical organization.

Required Qualifications & Skills

• 7+ years of experience in technical enablement, technical training, curriculum development, or related roles (e.g. solution engineering, developer advocacy, technical sales enablement).
• Demonstrated experience designing, launching, and iterating multi‑persona technical enablement programs.
• Strong program and project management skills — ability to juggle multiple, overlapping initiatives.
• Excellent facilitation, presentation, coaching, and written communication skills (able to explain complex technical ideas in accessible ways).
• Proven stakeholder management: ability to work with senior leaders, SMEs, and cross-functional teams.
• Experience using learning management systems (LMS), authoring/training tools, content repositories, knowledge bases, and tools like Confluence, SharePoint, or equivalents.
• Data-driven mindset: comfort defining and tracking metrics, dashboards, and deriving insights.
• Hands-on, get-things-done attitude; high initiative and ownership.
• Experience managing certification, accreditation, or assessment programs is a strong plus.
• Previous experience in the field (solutions engineering, pres-ales, professional services, or consulting) is highly desirable.
• Experience with adult learning theory, instructional design, and best practices in technical pedagogy.