Job description

Seekr is looking for a Principal Product Manager to lead the model training and fine-tuning capabilities within SeekrFlow. This role will own the product strategy, roadmap, and execution for how customers customize, improve, evaluate, and operationalize models using SeekrFlow. You will work closely with engineering, design, ML, infrastructure, field teams, and customers to design and ship product capabilities that make model training and fine-tuning accessible, reliable, and production-ready. The ideal candidate has experience building technical AI/ML products, understands the tradeoffs involved in model customization, and can translate complex ML workflows into intuitive platform capabilities for enterprise users. What You’ll Own As the Principal PM for model training and fine-tuning, you will define and drive the product direction for capabilities such as: Supervised fine-tuning and instruction fine-tuning workflows Preference optimization techniques such as DPO and RL-based approaches LoRA / adapter-based fine-tuning Dataset preparation, validation, and versioning Training job configuration, orchestration, monitoring, and troubleshooting Model lineage, experiment tracking, and reproducibility Evaluation workflows to determine whether a fine-tuned model is actually better Promotion workflows from training to evaluation to deployment Cost, performance, and quality tradeoffs across training workflows Enterprise controls for governance, permissions, auditability, and deployment readiness You will help customers answer questions like: When should I fine-tune versus use prompting, RAG, or an off-the-shelf model? How do I know whether my fine-tuned model is actually better? How do I prepare and validate the right training data? How do I move from experimentation to production safely? How do I govern, evaluate, and monitor customized models over time? Responsibilities Define the product vision, strategy, and roadmap for model training and fine-tuning within SeekrFlow. Partner closely with engineering and design to design, build, launch, and iterate on product capabilities across the model training and fine-tuning lifecycle. Translate complex ML workflows into clear, usable, and scalable product experiences for technical and enterprise users. Work with ML engineering, infrastructure, design, field teams, and customers to identify the highest- impact problems to solve. Develop a deep understanding of customer use cases across enterprise, regulated, and deployment- constrained environments. Prioritize across competing needs such as model quality, ease of use, flexibility, cost, latency, governance, and operational complexity. Define requirements for training workflows, dataset management, job orchestration, evaluation, monitoring, model lineage, and model promotion. Drive product discovery, solution definition, feature design, launch planning, and post-launch iteration in partnership with cross-functional teams. Establish success metrics for model customization workflows, including adoption, time-to-value, training success rates, model quality improvements, deployment conversion, and customer retention. Work with go-to-market and customer-facing teams to support strategic customer conversations and translate field learnings into product direction. Communicate roadmap, tradeoffs, and product decisions clearly to executives, engineering teams, design partners, and customer stakeholders. Help shape SeekrFlow’s broader platform strategy across data, fine-tuning, evaluation, inference, agents, observability, and explainability. What We’re Looking For Must-Haves 8+ years of product management experience, including experience owning technical platform products. Strong understanding of AI/ML product development workflows, especially model training, fine- tuning, evaluation, and deployment. Ability to reason through tradeoffs across model quality, data quality, cost, performance, usability, and production readiness. Experience working closely with ML engineers, platform engineers, infrastructure teams, design teams, and/or developer-facing product teams. Strong product judgment in ambiguous problem spaces. Demonstrated ability to define product strategy, prioritize roadmaps, and drive execution across cross-functional teams. Experience designing and shipping complex product capabilities from discovery through launch and iteration. Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly to technical and non-technical audiences. Customer-centric mindset and ability to translate enterprise customer needs into scalable platform capabilities. Nice-to-Haves Experience building AI development platforms, MLOps platforms, LLMOps platforms, developer tools, or technical enterprise platforms. Hands-on familiarity with LLM fine-tuning techniques such as SFT/IFT, LoRA, DPO, RLHF, or related approaches. Experience with dataset management, evaluation workflows, experiment tracking, model registries, or deployment pipelines. Experience building products for regulated, security-sensitive, self-hosted, or air-gapped environments. Familiarity with open-source model ecosystems and enterprise model deployment patterns. Experience working with GPU-based infrastructure, training job orchestration, or distributed ML systems. Prior experience as a Principal PM, Staff PM, Group PM, or product lead for a technical platform area. This range reflects Seekr’s good faith estimate of what it expects to pay for this role at the time of posting. Placement within the range depends on a number of factors, including but not limited to geographic location, applicable labor categories under Seekr’s federal government contracts, relevant prior work experience, specific skills, education, and certifications. This role may also be eligible for annual bonus, equity, other other incentive compensation. The proposed salary range for this position is: $190,000 — $235,000 USD About the Company: Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society’s most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission: We are driven by outcomes—our customers' success is what we strive for every day. We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle. We take our responsibility to deliver secure AI seriously. We believe innovation drives progress—we are building the technologies that power the systems our society depends on. Company Benefits: Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter. Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth. Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge. Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX. Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role. 401(k) with Company Match – Build your future with a retirement plan that includes employer matching. Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family. Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement. Important Notice: To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce. Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Requirements

Must-haves

What You’ll Own
As the Principal PM for model training and fine-tuning, you will define and drive the product direction for capabilities such as:
Supervised fine-tuning and instruction fine-tuning workflows
Preference optimization techniques such as DPO and RL-based approaches
LoRA / adapter-based fine-tuning
Dataset preparation, validation, and versioning
Training job configuration, orchestration, monitoring, and troubleshooting
Model lineage, experiment tracking, and reproducibility
Evaluation workflows to determine whether a fine-tuned model is actually better
Promotion workflows from training to evaluation to deployment
Cost, performance, and quality tradeoffs across training workflows
Enterprise controls for governance, permissions, auditability, and deployment readiness
When should I fine-tune versus use prompting, RAG, or an off-the-shelf model?

Nice-to-haves

Experience building AI development platforms, MLOps platforms, LLMOps platforms, developer tools, or technical enterprise platforms.
Hands-on familiarity with LLM fine-tuning techniques such as SFT/IFT, LoRA, DPO, RLHF, or related approaches.
Experience with dataset management, evaluation workflows, experiment tracking, model registries, or deployment pipelines.
Experience building products for regulated, security-sensitive, self-hosted, or air-gapped environments.
Familiarity with open-source model ecosystems and enterprise model deployment patterns.
Experience working with GPU-based infrastructure, training job orchestration, or distributed ML systems.
Prior experience as a Principal PM, Staff PM, Group PM, or product lead for a technical platform area.
We are driven by outcomes—our customers' success is what we strive for every day.
We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
We take our responsibility to deliver secure AI seriously.
We believe innovation drives progress—we are building the technologies that power the systems our society depends on.

Application prep

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Benefits

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401(K)

Pto

Parental Leave

Wellness