Procurement Sciences AI

Full-stack Engineer

• Own the design and customer deployment of Procurement Sciences’ self‑hosted BYOC architecture on Microsoft Azure and Google Cloud Platform.
• Lead implementations, harden for compliance, and automate operations with a Kubernetes‑first stack.
• Become the technical owner & lead of the Enterprise BYOC program, defining its future and growth of the technology stack and execution.
• Serve as the technical bridge between our product and customer infrastructure.
• Ensure deployments meet FedRAMP High and CMMC 2.0 Level Two requirements while maintaining security, scalability, and operational excellence.

Senior Enterprise Deployment Program Technical Lead

Support Engineer

• Operate L1 queue in Jira; own customer comms for incidents and maintenance.
• Execute standard changes via GitOps (syncs, Helm upgrades, config toggles) and validate rollouts.
• Perform cluster and infra checks: node/pod health, events, logs, PVCs, ingress, certs, DNS, autoscaler status, image pulls.
• Patch management: coordinate k8s/OS and container image updates, CVE advisories, certificate rotation.
• Monitor SLOs and alerts from Azure Monitor/Log Analytics, GCP Cloud Operations, Prometheus/Alertmanager; handle paging and escalate per runbook.
• Collect diagnostics for L2/L3: kubectl outputs, logs, metrics, timelines; file high‑quality bug reports.
• Maintain customer environment records, inventories, and change history.
• Propose reliability improvements and documentation fixes.

Enterprise Deployment Program Operations Analyst

Customer Success Manager

• Build and oversee systems (Planhat or similar) to track adoption, engagement, and health scores.
• Identify churn risk early and deploy proactive playbooks to protect revenue and increase lifetime value.
• Develop and execute customer adoption frameworks that drive ROI, usage, and long-term stickiness.
• Partner with customers to embed Awarded AI into their workflows and strategic priorities.
• Serve as a trusted advisor and executive sponsor for key accounts.
• Negotiate renewals and expansions with a consultative, value-first approach.
• Build, lead, and inspire a multi-segment CS organization — SMB, Mid-Market, and Enterprise.
• Recruit, mentor, and retain top Customer Success Managers (CSMs); create career paths and a performance-driven, engaged culture.
• Design scalable onboarding, implementation, and success playbooks that drive efficiency and predictability.
• Create structured reporting and dashboards for CS metrics — retention, net revenue expansion, health scores — to guide decisions and inform leadership.
• Work closely with Sales, Marketing, and Product teams to ensure a seamless handoff from sale to onboarding, and to surface customer feedback that drives product strategy and roadmap.

Head of Customer Success

Chief Marketing Officer

• Lead the demand generation team to devise strategies that drive MQLs and SQLs.
• Oversee field marketing initiatives and provide leadership to the demand gen and potentially the SDR/BDR inside sales team.
• Optimize marketing spend across channels to improve cost per MQL, cost per opportunity, and cost per closed won.
• Lead initiatives to increase pipeline created dollars, enhancing pipeline-to-spend ratio.
• Establish and strengthen our brand in competitive markets, doubling down on our market leadership.
• Implement creative strategies to differentiate our brand through guerrilla marketing and unconventional tactics.
• Boost brand visibility and recognition by leveraging key marketing channels and market trends.
• Drive new opportunity creation, managing marketing activities to optimize conversions from MQL to demos and demos to opportunities.
• Track and report marketing performance metrics tied to pipeline creation, cost efficiency, and revenue growth.
• Collaborate with sales and product teams to align marketing initiatives with revenue targets and goals.
• Build, lead, and mentor a high-performing marketing team capable of elevating our market presence.
• Work closely with the CEO on content marketing strategy and GTM (Go-To-Market) engineering strategy.
• Nurture team growth, foster a collaborative culture, and ensure career development paths align with company objectives.
• Create and maintain robust marketing processes and systems for scalability and reliability.
• Develop structured reporting and dashboards to monitor marketing KPIs and drive data-informed decisions.
• Work closely with Product, Sales, and Customer Success teams to ensure alignment of marketing strategies with business goals.
• Collaborate on product launches, ensuring cohesive messaging across all marketing touchpoints.

VP of Marketing

Data Engineer

• Build, deploy, and maintain production data ingestion on top of our data platform.
• Design and implement feature engineering and source of truth tables for finance and product usage metrics.
• Lay the foundation for a future analytics team to empower the business to make data driven decisions and fast experimental iteration.
• Collaborate with ML and engineering teams to support the needs to train large scale models for in production use.

Senior Data Engineer

Human Resources

• Manage the full employee lifecycle and help build a dynamic and inclusive company culture
• Act as the main point of contact for employee questions and concerns; provide guidance on company policies, mediate disputes, and ensure a positive work environment
• Support the performance review cycle, help managers with goal setting, and provide guidance on feedback and performance improvement plans
• Assist with administration of compensation and benefits programs, new hire enrollments, open enrollment periods, and employee inquiries
• Ensure HR practices comply with federal, state, and local labor laws; maintain and update the employee handbook and HR policies
• Maintain accurate employee records in HRIS and generate reports to support business decisions
• Help organize team-building events, employee recognition programs, and other culture and engagement initiatives

HR Generalist

Machine Learning Engineer

• Build, deploy, and maintain production classification and recommendation systems serving thousands of users
• Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
• Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
• Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
• Optimize model performance, system reliability, and inference latency across the ML stack
• Own traditional ML systems while implementing RAG pipelines and agent frameworks to improve recommendations and search quality

Senior AI/ML Engineer

• Build, deploy, and maintain production classification and recommendation systems serving thousands of users
• Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
• Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
• Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
• Optimize model performance, system reliability, and inference latency across our ML stack
• Own traditional ML systems while gaining hands-on experience with RAG pipelines and agent frameworks
• Deliver improvements to recommendations, search quality, and user classification impacting product performance

Senior AI and ML Engineer

Sales

• Lead a team of three or more Account Executives to achieve ambitious growth goals.
• Build, mentor, and manage Account Executives to consistently exceed quota.
• Develop and execute territory and account strategies to drive revenue growth.
• Coach Account Executives on pipeline development, sales methodology, and deal execution.
• Collaborate with Product and Marketing teams to align sales strategies with market opportunities.
• Forecast sales performance and deliver regular updates to leadership.
• Cultivate a culture of accountability, continuous improvement, and customer success.

Sales Manager

• Develop and execute the overall sales strategy to achieve ambitious growth targets.
• Lead, coach, and scale a high-performing team of Sales Managers and Account Executives.
• Drive sales forecasting, pipeline management, and revenue reporting.
• Partner with the executive team to align sales strategies with corporate objectives and product roadmaps.
• Build executive-level relationships with key customers and partners.
• Establish best practices for sales processes, methodologies, and team performance.
• Represent sales perspectives in cross-functional leadership discussions.

Vice President, Sales

• Build, deploy, and maintain production classification and recommendation systems serving thousands of users
• Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
• Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
• Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
• Optimize model performance, system reliability, and inference latency across our ML stack

Content Marketing Manager

• Procurement Sciences (PSci.AI) builds Awarded AI, an AI platform for government contracting.
• Own the content engine: ideate and produce high-quality product marketing videos and repurpose long-form assets for short-form distribution.
• Clip and repurpose webinars, interviews, and demos into snackable, multi-platform content for LinkedIn, TikTok, YouTube Shorts, etc.
• Manage and grow social media accounts; develop content calendars and optimize per-platform creative to drive engagement and growth.
• Review and enhance marketing assets and event collateral; recommend best-in-class video, editing, and design tools.
• Collaborate on a ground-up website rebuild to align web content to SEO, messaging, and conversion needs.
• Monitor content performance using analytics and SEO tools; iterate to maximize reach, virality, and conversion.
• Build and maintain a live digital repository for content assets, campaigns, and experiments.
• Lead or support development and distribution of thought leadership, downloadable resources, and customer-facing educational materials.
• Benchmark competitors' content, campaigns, and social engagement to inform strategy.
• Partner with internal teams (including Customer Success) to surface, package, and distribute support, onboarding, and product content.
• Work closely with leadership to create split/talking head video content and rapidly test viral content strategies.
• Background check required as part of the employment process.

Content Marketer

Backend Engineer

• We are seeking a Senior Backend Engineer to build the infrastructure and systems that power our AI/ML features in production.
• In this role, you will design and implement scalable APIs, services, and monitoring systems that enable our ML team to deploy models reliably at scale.
• You will focus on the platform layer that makes AI workflows fast, reliable, and observable, working closely with our ML engineers to translate their models into production-ready services that serve thousands of users.
• Build scalable APIs and microservices that serve ML models in production with low latency and high availability.
• Work with the core engineering team to implement reliable integrations with LLM APIs (Claude, GPT, Gemini).
• Implement monitoring, logging, and observability systems for AI workflows to ensure reliability and performance.
• Build the integration points between the AI/ML Platform stack and the core application, supporting core product development and long term technological investment.
• Support data pipeline development and maintenance that enable ML model training and inference.
• Ideal Candidate: Strong systems thinking with experience designing scalable backend architectures.
• Experienced in SaaS environments and understands the operational challenges of serving ML models in production.
• Pragmatic engineer who prioritizes reliability and performance over experimenting with the latest frameworks.
• Collaborative mindset with strong communication skills.
• Required Experience: 5+ years building scalable backend systems (Python, NestJS, etc.).
• Experience integrating external APIs at scale, including rate limiting, retry logic, and error handling.
• Proven track record with databases (PostgreSQL, Redis) and message queues (RabbitMQ, Kafka, or similar).
• Experience with containerization (Docker) and cloud platforms (AWS, GCP, or Azure).
• Understanding of monitoring and observability tools (DataDog, New Relic, or similar).

Senior Backend Engineer, AI

Recruitment

• Procurement Sciences (PSci.AI) is looking for an organized, proactive, and resourceful Recruiter to help us identify, attract, and close high-caliber candidates for both technical and business-focused roles.
• You will partner with hiring managers across multiple disciplines—including software engineering, product, sales, and business development—to build strong candidate pipelines, ensure a seamless interview experience, and help us scale our team with top performers.
• The ideal candidate thrives in a fast-paced environment and brings a proven track record recruiting for both technical and revenue-generating positions in technology, SaaS, or high-growth companies.
• Manage the full recruiting lifecycle, from developing job descriptions through sourcing, screening, interviewing, negotiating offers, and onboarding.
• Source, engage, and assess candidates for a wide variety of positions, especially software engineers, technical product managers, SDRs, BDRs, and sales executives.
• Partner closely with hiring managers to understand role requirements, build ideal candidate profiles, and align on search strategies.
• Deliver a positive, high-touch experience for every candidate, ensuring clear communication, timely feedback, and a strong representation of Procurement Sciences’ values.
• Develop and maintain effective sourcing strategies using a combination of direct outreach, referrals, networking, social media, and recruitment platforms.
• Maintain accurate data in the ATS; track key recruiting metrics and provide regular hiring updates to stakeholders.
• Coordinate interview logistics, prepare interview panels, and facilitate debriefs and calibration sessions.
• Assist with employer branding, campus outreach, diversity initiatives, and development of recruiting collateral as needed.
• Stay current on best practices and trends in recruiting within SaaS, GovCon, and technology industries.
• To Apply: Please submit your resume and a cover letter sharing your experience recruiting both technical and sales/business development professionals, and why you are drawn to supporting Procurement Sciences' mission and growth.

Recruiter

Security Engineer

• Lead the FedRAMP Moderate/High authorization and compliance program for our SaaS platform, from preparation through Authority to Operate (ATO) and continuous monitoring.
• Define and document the system security boundary, architecture, and control implementation strategy for FedRAMP and government cloud environments.
• Prepare, maintain, and update all security documentation including the System Security Plan (SSP), policies, procedures, Plan of Actions and Milestones (POA&M), and continuous monitoring evidence.
• Coordinate and manage all interactions with 3PAOs, government sponsors, and FedRAMP PMO.
• Ensure timely remediation of findings, execution of continuous monitoring activities, and reporting according to federal requirements.
• Build and maintain the company’s CMMC Level 2+ compliance program, ensuring company-wide adherence to NIST SP 800-171 controls and related frameworks.
• Develop and enforce security policies and best practices across information security, DevSecOps, vulnerability management, incident response, and access control.
• Partner with Product, Engineering, and Operations to embed security into SDLC and cloud deployment processes.
• Provide regular risk and compliance briefings to company leadership and external stakeholders.
• Lead security training, awareness, and role-based education initiatives for internal teams.
• Represent Procurement Sciences in customer security assessments, compliance reviews, and during agency or partner audits.

Director of Security & Compliance (FedRAMP/CMMC)

Executive Assistant

• Procurement Sciences (PSci.AI) is seeking an experienced, detail-oriented, and highly proactive Executive Assistant to provide comprehensive support to our executive leadership team. The ideal candidate thrives in a high-growth SaaS environment and is adept at managing a broad range of priorities, confidential information, and fast-moving schedules. This critical role involves streamlining executive workflows, supporting key company initiatives, and representing leadership values both internally and externally. Preference will be given to candidates in the Washington, DC area or Salt Lake City, UT; however, highly qualified remote candidates will be considered.
• Manage complex executive calendars and schedule meetings, ensuring optimal time use and prioritization.
• Coordinate domestic and international travel, including transportation, accommodations, and detailed itineraries.
• Prepare daily briefings, meeting materials, and executive-level communications.
• Review and triage incoming emails, calls, requests, and correspondence on behalf of executives.
• Process expense reports, support procurement activities, and manage confidential company records.
• Organize and coordinate company events, offsites, and leadership meetings.
• Support special projects, prepare status updates, and track completion of executive initiatives.
• Communicate on behalf of the executive team with internal staff, board members, clients, and external stakeholders.
• Exercise sound judgment and maintain a high level of confidentiality and professionalism at all times.
• Ideal Candidate Qualifications:
• Minimum of 3 years experience…

DevOps Engineer

• We are seeking a results-driven and innovative DevOps Engineer to play a critical role in building, maintaining, and optimizing our secure, multi-cloud AI-driven SaaS platform. You’ll work hand-in-hand with software engineering and SRE teams to deliver secure, reliable, automated cloud infrastructure and DevSecOps pipelines that support production, test, and development environments at scale. The ideal candidate will bring deep experience in Azure, AWS, and Google Cloud Platform (GCP), strong Kubernetes skills, and a proactive approach to automation, observability, and reliability—ideally within a high-growth SaaS or GovCon context.
• Deploy, configure, and manage our AI-powered SaaS platform across Azure, AWS, and Google Cloud Platform (GCP), ensuring high availability, security, scalability, and cost-effectiveness.
• Design, implement, and maintain robust CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab, or similar), automating build, test, deployment, and infrastructure provisioning workflows.
• Collaborate closely with development, SRE, and security teams to enable rapid, reliable software releases, with baked-in system observability, compliance, and security controls.
• Manage and optimize multi-cloud virtual private networks, container orchestration (Kubernetes, Helm), and microservices deployments.
• Operate, monitor, and tune infrastructure by applying best practices in cloud security, cost management, and resource utilization; develop infrastructure as code using Terraform, ARM/Bicep templates, and/or similar tools.
• Implement, manage, and integrate monitoring, alerting, and logging platforms (Datadog, Prometheus, Grafana, ELK, Cloud native tools, etc.) to ensure visibility into service health and performance.
• Ensure infrastructure and application environments meet and maintain security, compliance, and auditability requirements (supporting FedRAMP, CMMC, and public sector regulatory needs).
• Conduct regular assessments, vulnerability scans, and incident response drills; manage secrets and key rotation in line with industry best practices.
• Provide technical guidance and production support, including troubleshooting, root cause analysis, and incident management to minimize downtime.
• Create and maintain clear, actionable documentation, runbooks, and technical process guidance.
• Keep current with industry trends, new cloud technologies, and DevSecOps best practices, introducing improvements and driving adoption within the organization.

Senior Enterprise Deployment Program Technical Lead

Enterprise Deployment Program Operations Analyst

Head of Customer Success

VP of Marketing

Senior Data Engineer

HR Generalist

Senior AI/ML Engineer

Senior AI and ML Engineer

Sales Manager

Vice President, Sales

Senior AI/ML Engineer

Senior AI and ML Engineer

Content Marketer

Content Marketer

Senior Backend Engineer, AI

Recruiter

Director of Security & Compliance (FedRAMP/CMMC)

Executive Assistant

Sr. DevOps Engineer