hatch I.T.

Full-stack Engineer

• Own the user interface and experience across core clinical and operational workflows
• Build production features using Next.js, React, and TypeScript
• Implement complex multi-step forms and workflow-driven interfaces
• Build AI-powered tools that help clinicians with documentation, clinical decision support, and voice-driven workflows
• Work with generated API clients and maintain frontend/backend contract alignment
• Translate real-world workflow requirements into usable software
• Build new product capabilities from scratch as the platform expands
• Collaborate closely with product, design, and clinical stakeholders
• Use AI development tools to accelerate implementation while maintaining code quality
• Participate in code reviews and technical planning

Senior Product Engineer

Technical Project Manager

• Execute, manage, and deliver government program(s) by working through multiple internal and external teams during the entire agile product lifecycle including, but not limited, to operations, architecture, engineering, analytics, DevSecOps, installation, configuration, acceptance, training, technical assistance, handover, and sustainment.
• Develop, maintain, and manage Master Schedules (MS) using Microsoft Project.
• Track and report project status, risks, issues, dependencies, staffing, deliverables, and financial performance.
• Lead Monthly Management Reviews (MMRs), bi-weekly Interim Progress Reviews (IPRs), and technical exchange meetings.
• Ensure compliance with contract requirements, deliverables, reporting standards, and Government configuration management, cybersecurity policies, and business processes.
• Oversee preparation and delivery of:
• Software Requirements Specifications (SRS)
• Preliminary Design Reviews (PDRs)
• Technical documentation
• Configuration audit artifacts
• Facilitate communication between Government leadership, technical teams, subcontractors, and external stakeholders.
• Support technical demonstrations, customer engagements, and executive briefings for Government leadership and operational users.
• Manage project risks, mitigation strategies, staffing plans, and operational dependencies.
• Monitor software development best practices, documentation standards, and release quality.
• Oversee subcontractor performance and ensure timely execution of contractual obligations.

Software Engineer

• Define and lead engineering roadmaps, ensuring seamless transition from contract award to execution while accelerating mission delivery and building customer trust
• Shape enterprise technology strategy and drive consistent engineering practices to influence future organizational capabilities
• Mentor engineers across the organization to foster a culture of learning and continuous improvement
• Stay ahead of emerging technologies to maintain competitive advantage and mission effectiveness
• Establish architectural governance frameworks to ensure compliance, security, and performance standards across programs
• Lead solution architecture design aligned to Modular Open Systems Approach (MOSA) principles
• Develop cloud-native and hybrid architectures across AWS, Azure, and Google Cloud
• Drive modernization initiatives leveraging containers, microservices, APIs, and serverless technologies
• Champion DevSecOps practices, embedding security throughout the software development lifecycle
• Promote Infrastructure as Code (IaC) using tools such as Terraform, Ansible, and CloudFormation
• Define governance frameworks ensuring adherence to cybersecurity and regulatory requirements
• Ensure systems meet compliance standards required in government and national security environments
• Serve as a trusted technical advisor to clients, translating complex challenges into high-value solutions
• Lead pre-sales and post-sales technical engagements, communicating solution feasibility and value
• Build and maintain strong client relationships to drive long-term success and repeat business
• Align engineering, sales, and operations teams to deliver integrated solutions
• Lead and scale high-performing engineering teams focused on execution excellence
• Mentor and develop engineering talent, fostering a culture of innovation, accountability, and continuous improvement
• Establish documentation and sustainment strategies to ensure long-term system reliability and maintainability

Director of Engineering

Account Manager

• Manage and grow an assigned book of business while conducting active new account prospecting and acquisition.
• Conduct daily outbound phone prospecting as a core and non-negotiable part of the role.
• Follow up on conference connections, networking activity, referrals, and event leads consistently and promptly.
• Attend industry conferences, government procurement events, and networking functions regularly as a primary business development strategy.
• Hunt for new sales opportunities within assigned territories, markets, and professional networks.
• Develop and execute a territory sales plan covering priority prospects, procurement pathways, budget cycles, and decision-makers.
• Serve as the primary sales relationship owner for all assigned accounts.
• Identify cross-sell and upsell opportunities across Assura’s full service portfolio.
• Meet assigned quarterly and annual sales goals, with a standard planning target of $1,000,000 annually.
• Maintain complete and accurate records in HubSpot for all accounts, prospects, opportunities, proposals, contracts, and renewals.
• Complete all assigned onboarding and ongoing sales training.
• Collaborate with Marketing to develop and refine sales materials, outreach campaigns, and event collateral.

Scrum Master

• This role is an excellent opportunity for someone passionate about helping organizations transform their ways of working to an agile state and who wants to help other teams implement an agile mindset and culture.
• You will learn about your client's products, processes, and tools, and help identify areas for improvement that enable them to meet their goals.
• Leveraging your expertise, you will help guide your clients toward good agile and SAFe practices and recommend processes and tools to support their journey.
• As a Product Coach at Packaged Agile, you'll be responsible for helping your client understand how to build and lead a product culture that focuses on creating valuable and viable solutions.
• Solve complex problems using sound logic and compelling narratives.
• Advise on agile, SAFe, and Scrum @ Scale strategies to implement across the organization.
• Build trust and collaborative relationships among all stakeholders across the ART.
• Mentor Scrum Masters, leadership, PO/PMs, and other ART team members on agile and SAFe best practices.
• Facilitate the identification of objectives and key results (OKRs) that are product-team specific, but roll up to organizational goals.
• Coach clients on agile principles and processes and on building compelling Product Vision and Product Strategy descriptions and how to orient Product Roadmaps around the delivery of customer value as opposed to output.
• Partner with teams and stakeholders to help improve their agile practices.
• Identify practical ways to keep team members engaged and motivated in a remote environment.
• Escalate impediments and risks, and clearly explain their impact in plain language.

Agile Coach

Product Manager

• The Director of Product Management is a leader responsible for defining and executing product strategy for one or more Babel Street use cases (e.g., Global & Event Threats, Identity Risk, Business/Vendor Risk).
• The role partners closely with the SVP of Product Management to translate company strategy, market insights, and customer needs into a clear product vision and prioritized roadmap—communicating strategic direction to key stakeholders throughout the company.
• This leader ensures Babel Street focuses on and builds products that customers need, value, and adopt while advancing the company’s strategic and commercial objectives.
• As a Director, this role balances strategic leadership with hands-on product ownership, serving as the connective tissue between customers, Go-to-Market teams, and Engineering.

Director of Product Management

Platform Engineer

• Lead the architecture, development, and scaling of VOR platform
• Write code, review pull requests, debug production issues, and make hands-on architectural decisions
• Own VOR's technical direction end-to-end from system design and infrastructure to adoption and mission impact
• Lead cross-functional teams to deliver a platform that integrates seamlessly into client environments

Director of Platform Engineering – VOR

• Own the product vision, strategy, and roadmap for your area of the platform.
• Solicit, refine, and prioritize requirements from current and prospective customers, the Expression executive team, and other internal stakeholders
• Define, prioritize, and deliver end-to-end product features supporting the Agentic AI platform
• Define requirements for LLM-based services, agent workflows, and orchestration layers
• Take full ownership of features from concept through production, including testing, deployment, and monitoring
• Track and drive improvements to product performance and reliability through metrics and partnership with engineering
• Translate customer and business needs into clear product requirements with documented trade-offs
• Collaborate with engineering, design, and stakeholders to refine features and ensure alignment with business goals
• Contribute to backlog refinement, sprint planning, and agile ceremonies
• Provide input on feasibility, scope, and technical design decisions
• Collaborate directly with clients to support implementation and adoption of the platform
• Participate in product demonstrations and technical discussions with current and potential customers
• Translate client needs into actionable technical solutions and enhancements
• Support deployment and customization efforts in mission environments
• Contribute to the design and influence the evolution of core platform architecture and components
• Influence system scalability, reliability, and performance improvements
• Lead or contribute to research, prototyping, and evaluation of emerging technologies
• Track emerging AI tools, techniques, and research, and surface promising candidates for evaluation and potential platform integration
• Define product strategy and requirements for retrieval and context engineering systems
• Drive product direction for vector search systems and vector database integration
• Shape product strategy for LLM-based applications targeted at enterprise use
• Ensure efficient data flows and integration across platform components
• Define and prioritize requirements for evaluation frameworks, agent behavior monitoring, and red-teaming.
• Partner with engineering and security to ensure agentic systems behave safely, predictably, and within mission constraints.
• Champion practices that make agentic AI verifiable to customers — explainability, auditability, and traceability of agent actions.
• Work closely with engineering, design, marketing, business development, infrastructure, and security teams
• Communicate technical concepts clearly to both technical and non-technical audiences
• Produce technical documentation, architecture diagrams, and design proposals
• Use metrics, user feedback, and experimentation to improve product capabilities
• Balance speed, quality, and long-term maintainability in engineering decisions
• Advocate for the end user through thoughtful feature design and implementation

QA Engineer

• Define the quality gates and testing methodologies used across the entire engineering organization
• Partner with engineering teams to integrate developer-level testing and ensure testing is caught early in the development cycle, moving away from siloed, downstream testing toward a model of shared ownership
• Own testing infrastructure through the selection, implementation, and maintenance of the testing tools and systems that allow for scalable, unbreakable software
• Strategically identify and implement AI tools and agents to eliminate manual bottlenecks and extensively automate repetitive testing tasks, maximizing efficiency and coverage
• Drive QA excellence by partnering with technical leadership and Client Delivery Leads to ensure testing is properly prioritized and accounted for during project planning and resource allocation

Senior Quality Assurance Engineer

Cloud Engineer

• Help design, build, and scale cloud infrastructure
• Support mission-critical systems
• Work closely with other Cloud Engineers to maintain infrastructure
• Drive cloud architecture decisions
• Lead initiatives to improve reliability and scalability of applications

Staff Cloud Engineer

Artificial Intelligence

• As Senior Director of Generative & Agentic AI, you will play a central role in Babel Street’s transformation into an AI-native risk intelligence organization.
• Architect, operationalize, and scale generative and agentic AI capabilities across the Babel Street platform, ensuring they are mission-ready, safe, economically efficient, and deeply integrated with their products and data ecosystem.
• Work closely with the President & Chief AI Officer, Product and Engineering leadership to execute the company’s AI strategy—balancing innovation with rigor, speed with safety, and capability with cost discipline.
• Lead teams building multilingual and multi-modal LLM and SLM pipelines, retrieval, agent-driven workflow systems, and graph-integrated reasoning capabilities that directly support intelligence applications.
• Focus on capabilities that automate analysis, reduce cognitive load, and power Babel Street’s future Knowledge Graph.
• Ensure all AI capabilities are delivered with strong guardrails, low hallucination rates, transparent behavior, and a relentless focus on winning on AI economics.
• Help build a high-performing AI organization and foster a culture defined by velocity, craftsmanship, safety, experimentation, and outcome-driven execution.

Senior Director, Generative & Agentic AI

• Lead the design and operationalization of Babel Street’s AI trust framework across safety, privacy, security, bias/fairness, and transparency.
• Create, institutionalize, and operationalize Babel Street AI Principles—translating them into policies, engineering standards, delivery gates, and reporting artifacts.
• Partner with Product, Engineering, Security (CISO), Legal/Privacy, and Customer Success teams to ensure governance requirements are understood, adopted, and embedded into the AI lifecycle.
• Translate emerging AI policy and customer requirements into concrete engineering controls and reusable collateral that accelerates RFI/RFP responses and supports due diligence.

Senior Architect, AI Governance & Risk

• Lead Babel Street’s API and MCP platform strategy
• Design and deliver semantic, agent-ready APIs
• Establish MCP standards and implementation patterns
• Define context management patterns for agent workflows
• Partner with AI and Data teams to enable agent-native architectures
• Establish API governance and platform standards
• Build foundational frameworks and reusable components
• Provide hands-on technical leadership and mentorship
• Partner with Google and other vendors on platform capabilities
• Drive adoption of API and MCP standards across engineering teams

Principal Engineer, API – MCP Platform

AI Engineer

• Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation.
• Implement facial matching, and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements.
• Develop and support object detection, image similarity, and scene understanding models.
• Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals.
• Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.
• Write clean, maintainable Python code and contribute to production services and APIs.
• Assist with model evaluation, bias testing, and accuracy monitoring for vision systems.
• Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection).
• Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

Image & Computer Vision AI Engineer

Data Scientist

• Define the North Star Data Architecture
• Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform
• Drive architectural clarity across warehouse, search, object storage, and real-time systems
• Ensure consistency in schemas, metadata, and governance frameworks across all data domains
• Build an AI-Native Data Foundation
• Design a data platform optimized for AI and agentic workloads, including: API-first, agent-callable data services
• Hybrid retrieval patterns (search + analytical + vector)
• Real-time and batch data unification
• Enable scalable support for LLMs, RAG pipelines, and intelligence workflows
• Own Data as a Product
• Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
• Define and standardize data contracts, ownership models, and domain boundaries
• Translate platform capabilities into customer-facing data products and differentiators
• Lead Platform Rationalization and Evolution
• Rationalize and evolve the current ecosystem into a cohesive and cost-efficient architecture
• Lead phased, low-risk migrations and consolidations aligned to business priorities
• Balance short-term pragmatism with long-term architectural integrity
• Own Performance, Reliability, and Cost Economics
• Accountable for performance, scalability, and reliability of all data systems
• Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
• Implement strong observability, SLOs, and incident management practices