Role Description Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities - Technical Leadership - Architect and ship production AI/ML systems — you write code, not just review it - Own the AI roadmap end-to-end: prioritization, trade-offs, delivery - Set technical standards for model quality, evals, observability, and reliability - Drive adoption of agentic coding tools to multiply team velocity - Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput - Partner with Platform Engineering on infrastructure, data pipelines, and APIs - People & Cross-Functional - Manage a distributed team of 8–10 engineers across Data and ML disciplines - Hire, develop, and retain engineers at all levels; build a high-trust remote culture - Partner with Product on roadmap sequencing and scope trade-offs - Work directly with customer-facing teams to close feedback loops on model quality - Communicate AI capabilities and limitations clearly to non-technical stakeholders - Model & Systems Ownership - Own model performance metrics and drive continuous improvement pipelines - Build and maintain evals frameworks — regression suites, human review, A/B testing - Oversee training data collection, curation, and labeling operations - Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration - Define and enforce quality bars for agentic workflows entering production - Applied AI & Agentic Systems - Production agentic pipelines using frontier models - Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration - Reliable agent loop design — planning, memory, tool execution, error recovery - RAG pipeline design — chunking, embedding models, retrieval tuning, reranking - Evals frameworks built from scratch — correctness, regression, semantic similarity - Observability for production AI — tracing, cost tracking, latency, failure analysis - Model Expertise - Fine-tuning frontier or open-source models for domain-specific tasks - LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls - Training data collection, curation, cleaning, and labeling at scale - LLM inference and serving optimization - vLLM, TGI, or equivalent - Model selection trade-offs — cost, latency, capability, context window - Engineering Depth - Hands-on Python — comfortable writing, reviewing, and shipping production code - PostgreSQL — schema design, query optimization, indexing strategies - Distributed systems — async workers, queues, retries, state machines - Celery or similar async task frameworks is a bonus - Public-facing API design — REST, versioning, developer experience - MCP server development — tool-accessible APIs for AI agent integration - AWS or cloud infrastructure — enough to own AI workload deployments Qualifications - Engineering Manager ready for director-level ownership - Has led technical teams at a startup or growth-stage company — knows how to move fast - Hands-on contributor who has also managed small high-performance teams - Comfortable owning outcomes Industry Experience - Finance and/or AP domain — invoice workflows, GL coding, vendor management - Hospitality — high-volume, multi-location AP operations - Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale Benefits - Compensation: 200,000-225,000 + 15% Annual Bonus - Competitive salary based on skills & experience - Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family - Employer sponsored 401(k) with company match - Paid Time Off (and the encouragement to use it) - Annual company retreats - Promote from within philosophy Company Description We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note. We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks. Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth. We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

• Define and execute the long-term data science strategy • Act as the primary liaison between Product Management and the Data Science team • Support the charge in migrating SurveyMonkey from a traditional SaaS product to an AI-first platform • Drive the strategy for integrating and leveraging Large Language Models and advanced Natural Language Processing techniques • Set the technical standards for model development, deployment, monitoring, and maintenance • Lead, mentor, and inspire a high-performing team of data scientists and machine learning engineers • Recruit top-tier data science talent, manage performance, and define career progression paths

• Prospect new clients (inbound and outbound); • Qualify leads and identify business opportunities; • Conduct sales meetings (online and/or in-person); • Present and demonstrate the software (demos); • Prepare commercial proposals and negotiate terms; • Manage the sales pipeline and update the CRM; • Collaborate with marketing, pre-sales and post-sales teams; • Track performance metrics (pipeline, conversion rate, average deal size); • Maintain customer relationships and support upsell and cross-sell strategies;

Requisition Number: 2355238 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: - Develop and implement AI and machine learning strategies across several healthcare domains - Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives - Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally - Represent Consumer Engineering work and teams across Optum global leadership - Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations - Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable - Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded - Demonstrate collaborative skills to work effectively with diverse teams - Serve as a role model by leveraging these techniques to optimize solutioning and product delivery - Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery - Provide leadership and be accountable for the performance of managers and/or senior-level professional staff - Drive impact at the operational, local business unit, or market level - Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: - Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline - 14+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning - Hands-on experience in AI and driving the development of innovative AI and machine learning solutions - Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn - Experience with cloud platforms such as AWS, Azure, and GCP - Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes - Demonstrated experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation - Experience in the following: - Agentic AI - Deep Learning - Model Evaluation Techniques - Natural Language Processing (NLP) - Python and data manipulation libraries like Pandas, Matplotlib, ggplot2 - Machine Learning - Prompt engineering for BOT integration with LLMs - Working with MCP - Application Analytics - Cloud (AWS Services, Machine Learning and AI services) - LLM integrations - Python - Type Script/NodeJs - Security Best Practices - Amazon Lex BOT Development - Deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle - Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences - Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism - Proven passion for learning and staying updated with the latest AI/ML trends and research Preferred Qualifications: - PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline - Experience working with cross-functional and distributed teams in a global and diverse environment - Experience in mentoring, coaching, and developing AI/ML talent - Experience in establishing and enforcing AI/ML best practices, standards, and ethics - Experience in Realizing Value from AI/ML products as well as production ready product - Proven background in healthcare (AI) - Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases - Proven portfolio of AI/ML publications, patents, or awards At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Optum is a drug-free workplace. © 2026 Optum Global Solutions (Philippines) Inc. All rights reserved.