Manager, Production - Applied AI
Manage project managers overseeing AI data operations and human-in-the-loop workflows for LLM training. Ensure on-time delivery and quality using KPIs, SQL, and agile methodologies in a distributed environment.
- Compensation
- $110K–$145K / yr
- Location
- Boston, MA
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5+ years in AI/ML data operations or production
- 2+ years directly managing project managers in distributed environments
- Strong understanding of LLM training processes (pre-training, SFT, RLHF)
- KPI-driven management experience (throughput, quality, cost)
- Advanced proficiency with spreadsheets, dashboards, and SQL
- Sustained on-time delivery track record for enterprise customers
- Experience hiring, ramping, and performance-managing contractor workforces
- Proven track record using Agile, Scrum, or Kanban
- Ability to write clear guidelines for multilingual audiences
Nice to have
- Fluency in multiple human languages
- Experience with multilingual data deliveries and rare-resource languages
- Experience with data annotation platforms (e.g., Label Studio)
- Experience with project management tooling (e.g., Jira)
- Background in ML engineering, computer science, or data science
Full description
About LILTAI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
Key Responsibilities
- PM Performance
- Outcome: Every active program has accountable Project Manager(s), and every PM carries a workload within the agreed span. Programs hit on-time delivery and first-pass acceptance targets without escalation; each PM is reviewed monthly against a scorecard of throughput, quality, and cost-per-task.
- PM Hiring, Onboarding, and Development
- Outcome: PM pool capacity keeps pace with signed demand: new PMs are sourced, onboarded, and running their first program within the agreed ramp window, all programs start on time, and PM attrition is below threshold.
- Quality Interventions Across Programs
- Outcome: Quality dips are caught mid-program through QA loops and corrected via retraining of annotator pools or guideline updates. Repeated misses by a PM or annotator pool lead to documented remediation or replacement. Issues are proactively discovered.
- Process Standardization & Software Improvements
- Outcome: Programs launch from shared playbooks, guideline templates, and dashboard standards rather than being rebuilt per engagement. Every post-mortem produces documented improvements that lead directly into our custom software stack, and time from program handoff to first delivery declines quarter over quarter.
- Escalation and Cross-Functional Interface
- Outcome: Risks surface to Technical Program Managers early enough to be managed. Escalations between the PM pool, Quality, Talent, and Delivery are resolved within agreed timelines.