unstructured.io

Engineering Manager

• Lead, mentor, and grow a team of backend engineers working across data ingestion, transformation, and orchestration systems.
• Stay hands-on—review designs, guide architecture decisions, and contribute to code in Python and Kubernetes environments when needed.
• Partner with the Head of Infra & Eng to define technical roadmaps, delivery milestones, and success metrics.
• Establish lightweight, high-impact engineering processes that improve reliability, speed, and quality (CI/CD, testing, code review).
• Drive clarity and accountability across projects, ensuring alignment between engineering, product, and customer outcomes.
• Foster a culture of technical excellence, ownership, and operational rigor.
• Support recruiting, onboarding, and the ongoing growth of top engineering talent.

Senior Engineering Manager

Solutions Engineer

• Lead Technical Discovery and Solution Design
• Partner with account executives during customer engagements to uncover requirements, define success criteria, and architect tailored solutions.
• Design and present technical architectures that integrate Unstructured’s SDKs, APIs, and connectors into customer environments.
• Architect and Validate Complex Deployments
• Implement Unstructured across diverse infrastructure—cloud-native (AWS, GCP, Azure), hybrid, and on-premises.
• Design scalable solutions leveraging Kubernetes, containerized workloads, and Python-based data pipelines.
• Solve real-world challenges involving file parsing, ETL, vectorization, and retrieval at enterprise scale.
• Demonstrate Technical Credibility in the Field
• Deliver compelling demos, proof-of-concepts, and reference architectures that show value and technical rigor.
• Act as a trusted advisor to customer architects and data science teams, guiding best practices and integration strategies.
• Collaborate Cross-Functionally
• Provide structured, actionable feedback from customer interactions to influence product roadmap decisions.
• Partner with engineering and product teams to reproduce issues, validate fixes, and ensure customer success.
• Create and Share Best Practices
• Contribute reusable templates, demo assets, and solution guides for internal and external enablement.
• Elevate the technical standard across the field org through documentation and peer collaboration.

Solutions Architect

Engineer

• Define and evolve the end-to-end architecture for Unstructured’s data transformation and retrieval platform.
• Build and scale distributed systems that process massive volumes of unstructured data across diverse formats and sources.
• Serve as the company-wide authority on Kubernetes orchestration, cluster design, performance tuning, and reliability.
• Lead Python architecture and best practices—ensuring performance, modularity, and maintainability across services.
• Design and optimize Postgres schemas, queries, and indexing strategies to support large-scale metadata and retrieval pipelines.
• Mentor senior engineers through design reviews and code guidance, raising the bar for technical excellence across the org.
• Partner with the infrastructure and product teams to translate research prototypes into production-grade systems.
• Evaluate emerging technologies and open-source tools in LLM infrastructure, retrieval, and orchestration—deciding where and how to integrate them.

Distinguished Engineer

Product Marketing

• Design, test, and deploy AI-driven workflows and automations across Growth Marketing and Sales
• Turn raw unstructured data into actionable outbound and pipeline generation programs
• Fully onboard and integrate Clay into Unstructured’s GTM stack
• Build, automate, and maintain AI workflows that unify data across HubSpot, Reo.Dev, and enrichment solutions
• Work alongside the Data team to operationalize GTM data and deliver enriched outbound prospect lists and pipeline reporting
• Automate message-based and call-based outbound motions for clean hand-off of qualified prospects to sales
• Monitor and optimize GTM data pipelines to ensure accuracy, reliability, and scalability

GTM Engineer

Machine Learning Engineer

• Support US government clients (Department of Defense and national security community) delivering complex software implementations on government networks
• Test, evaluate, and develop various models and implementation architectures for use on US government networks
• Develop evaluation and assessment tools and frameworks to measure models across tasks and knowledge sets
• Identify, propose, and implement modifications of existing models and implementation frameworks to optimize for new tasks
• Lead conceptualization of traditional and agentic implementation strategies for cloud and on-premises model deployments within broader system architectures
• Lead and optimize distributed ML workloads on multiple government cloud and non-cloud infrastructures
• Align AI/ML deployments with FedRAMP, NIST 800-53, FISMA, and DISA SRG, maintaining strict security standards
• Create reference architectures and deployment patterns to streamline ML adoption across government agencies
• Translate mission objectives into ML-focused technical specifications and project plans
• Apply advanced security controls and zero-trust architectures to protect ML pipelines and data
• Continuously assess ML workloads for performance, cost, and security improvements, driving ongoing refinement

AI/ML Engineer – Public Sector

Full-stack Engineer

• Own the technical vision for some of the most complex, high-impact systems powering federal and public sector data pipelines.
• Drive architectural strategies that prioritize scale, performance, and security compliance.
• Write production-ready code and lead projects that directly support mission-critical workloads.
• Solve deep technical challenges like data orchestration at scale, secure data flow optimization, and AI-first infrastructure for sensitive workloads.
• Align engineering, product, and go-to-market teams to deliver solutions that meet public sector compliance and security needs.
• Guide architectural decisions that balance innovation with risk mitigation.

Software Engineer – Public Sector

Business Development Rep

• Manage and follow up on all inbound leads (webinars, events, campaigns, website inquiries)
• Support AEs by prospecting into 20+ target accounts, booking qualified meetings
• Run outbound outreach across email, LinkedIn, and phone to generate new opportunities
• Partner with Marketing to ensure timely, thoughtful follow-up on campaign leads
• Use AI-powered tools (Apollo, Sales Nav, Gong, etc.) to personalize outreach and track performance
• Maintain accurate records in HubSpot/CRM and provide insights to improve lead generation strategy

Business Development Representative

DevOps Engineer

• Build secure, highly available, and scalable cloud infrastructure for federal environments
• Ensure compliance with FedRAMP, FISMA, and other security frameworks
• Develop IaC with Terraform, Pulumi, or similar for repeatable, compliant deployments
• Build and maintain automated CI/CD pipelines that balance speed and security
• Implement and maintain monitoring, logging, and alerting (Prometheus, Grafana, Datadog, Elastic)
• Lead incident response, postmortems, and reliability improvements
• Partner with engineering and program teams for high-assurance rollouts

Site Reliability Engineer – Public Sector

Program Manager

We are seeking a Public Sector Program Manager / Customer Success Manager to lead technical delivery, customer success, and relationship management with our federal and public sector customers. This role combines program management, technical expertise, and customer advocacy to ensure seamless delivery of Unstructured solutions for government clients.
You will oversee public sector customer onboarding, manage technical integrations, coordinate across internal teams, and drive ongoing adoption and success. With your program management skills and public sector expertise, you will ensure compliance, execution excellence, and measurable value for our customers. You must have an active Secret or higher clearance for this role.

Key Responsibilities

Program & Engagement Management
Own the end-to-end program delivery lifecycle for public sector accounts, particularly within the US Department of Defense, ensuring milestones, deliverables, and timelines are met.
Navigate cross-functional coordination with product, engineering, and solutions teams to deliver tailored solutions.
Ensure programs align with customer missions, security requirements, and compliance frameworks.

Customer Success & Relationship Management
Act as the primary point of contact for public sector customers, building trusted partnerships that drive adoption and value.
Develop success roadmaps with measurable KPIs to ensure alignment with mission and business outcomes.
Proactively collaborate with account managers to identify expansion opportunities and help customers unlock the full potential of our platform.

Contract & Compliance Management
Own contract execution, including reviewing deliverables, ensuring compliance, and coordinating with internal stakeholders on obligations.
Own management of subcontracts, building effective partnerships, navigating procurement processes, and ensuring compliance with federal standards.

Technical Advisory & Integration
Guide customers through the implementation and integration of Unstructured solutions with existing workflows.
Translate technical capabilities into mission impact for technical and non-technical stakeholders.

Customer Advocacy
Represent the voice of the customer internally, providing insights to inform product roadmaps and feature prioritization.
Surface feedback to enhance usability, functionality, and performance in federal environments.

Required Skills & Experience
3–5 years of program management or customer success experience in public sector environments, preferably within the US Department of Defense.
Active SECRET clearance (TS/SCI eligibility strongly preferred).
Strong understanding of federal procurement, compliance, and delivery requirements.
Experience reviewing and managing contracts, SLAs, and deliverables.
Familiarity with machine learning, AI, or enterprise software integrations.
Excellent communication skills to bridge technical and non-technical stakeholders.
Proven ability to manage complex, multi-stakeholder programs with competing priorities.
Willingness to travel up to 35%.

Preferred Qualifications
Prior experience working with AI/ML, SaaS, or data-focused platforms.
Hands-on experience with program delivery in Department of Defense cloud or on-premises environments.
Comfortable operating in a fast-paced startup environment with a high degree of autonomy
Unstructured values service and encourages veterans of the US military and civilian agencies to apply to this role.

Program Manager / CS Manager – Public Sector

• Unstructured is a cutting-edge technology company at the forefront of developing innovative solutions for processing and extracting insights from unstructured data. Our mission is to empower businesses with actionable intelligence derived from text, images, and other unstructured sources.
• Recognized as the industry leader in ETL for LLMs, Unstructured has been downloaded more than 38 million times and is trusted by over 60,000 companies—including nearly half of the Fortune 500. We’ve also been named the #24 Most Innovative Company in the World by Fast Company and are proud to be featured in the Forbes AI50 list.
• We are looking for a Technical Product Marketing Leader to own messaging and comms strategy for Unstructured. You’ll work in lockstep with Product Managers, Engineering, Marketing and Sales to bring product innovations to life, craft compelling product and business stories, and drive adoption across a technically sophisticated audience.
• The ideal candidate is deeply technical, understands developer workflows and enterprise infrastructure, and thrives at the intersection of storytelling and software.
• Key Responsibilities
• Product Marketing Strategy and Positioning
• Own and continuously evolve the core messaging and positioning for Unstructured
• Translate product capabilities into value propositions and technical narratives tailored to developers, data engineers, and enterprise decision-makers
• Conduct competitive analysis and market research to identify trends, white space opportunities, and differentiation levers
• Cross-functional Product Collaboration
• Partner with Product Managers to shape feature launch strategy, positioning, and messaging from the earliest stages of development
• Collaborate closely with Engineering and Product to understand the technical roadmap and translate it into externally facing communications
• Work with Sales and Customer Success to gather feedback from technical buyers and integrate it into positioning and content strategy
• Content and Enablement
• Create and maintain technical marketing assets, including datasheets, solution briefs, whitepapers, demo scripts, battlecards, and presentations
• Own and produce technical blog posts, product update writeups, and release announcements that engage the community and explain complex concepts clearly
• Deliver and scale internal enablement through product walkthroughs, competitive briefings, and objection-handling materials
• Qualifications
• Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science); MBA or advanced technical degree is a plus.
• 5–8 years of experience in technical product marketing, solutions engineering, technical evangelism, or related roles for a software product.
• Deep familiarity with ETL pipelines, LLMs, data infrastructure, or developer platforms.
• Exceptional written and verbal communication skills – able to craft stories that resonate with both technical and business stakeholders.
• Demonstrated success in marketing technical products
• Comfortable operating independently in a fast-paced, ambiguous, and highly collaborative startup culture.
• What We Offer
• A collaborative, mission-driven team at the frontier of AI and data infrastructure.
• Competitive compensation, equity, and benefits.
• Opportunity to shape the messaging of a company, defining the future of Generative AI data pipelines.