Publié il y a 6 heures
Technical Product Manager (TPM), Delivery Ops
@ Mecka
Richmond Hill, Ontario
En bref
Mecka is hiring a Technical Product Manager for Delivery Ops, a full-time role that owns how robotics training datasets are planned, gated and shipped. The work covers turning customer specs into delivery plans, forecasting yield, owning ship gates and shaping the delivery tooling roadmap. The posting asks for 4 to 7+ years of technical product, program or data operations experience and strong SQL.
Responsabilités :
- Turn customer requirements into delivery plans and milestones
- Forecast shipments using yield and gate pass rates
- Define and maintain ship gates and sign off batches
- Write and prioritize the delivery tooling roadmap
- Convert customer issues into root causes and verified fixes
Résumé des exigences :
- 4 to 7+ years in technical product or program management or data operations
- Fluent in SQL
- Clear writing for specs, acceptance criteria and forecasts
- Record of shipping data or platform products to technical customers
- Experience with ML training data or dataset QA is an asset
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-11-12
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-11-12
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Gestion de produit |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mecka
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Data Layer for AI Robotics
Description complète de l’entreprise
Mecka create large scale human data for AI and robotics training
- Abonnés LinkedIn
- 980
- Personnes associées sur LinkedIn
- 38
- Catégories d’activité
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Mecka
- Mecka AI
- Spécialités
- Robotics
- Artificial Intelligence
- and Data
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 68 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mecka create large scale human data for AI and robotics training
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 2-10 employees |
| Type d’organisation | Privately Held |
| Spécialités | RoboticsArtificial Intelligenceand Data |
| Offres sur Jobsy | 40 |
| Voir la page |
About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
About Delivery Ops
Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.
About the role
Customers buy data against a spec, and the spec is only as good as our ability to hit it. You will own how deliveries get planned, gated, and shipped: translating what customers ask for into delivery plans and into the tooling roadmap that makes those plans repeatable.
What you'll do
Spec to plan
Turn customer requirements (hours, diversity caps, environments, formats, label levels) into delivery plans with clear milestones and acceptance criteria.
Forecasting
Use measured yield and gate pass rates to forecast what can ship and when, and flag shortfalls before they become missed dates.
Ship-gate ownership
Define and maintain the gates every delivery passes, and sign off that each batch meets spec.
Tooling roadmap
Write requirements and prioritize the delivery tooling roadmap with Delivery Ops engineering.
Feedback loop
Turn customer issue reports into root causes and verified fixes across capture, QA, and labeling.
What you bring
• 4 to 7+ years in technical product management, technical program management, or data operations.
• Fluent in SQL; you pull and check your own numbers rather than waiting on an analyst.
• Clear writing: specs, acceptance criteria, and forecasts that engineers and customers both trust.
• A record of shipping data or platform products to demanding technical customers.
Even better if you have
• Experience with ML training data, annotation programs, or dataset QA.
• Familiarity with sensor and video data (multi-camera, egocentric, calibration).
If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.
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