
11 - 50 employees
🎯 Recruiter
🏢 Enterprise
☁️ SaaS
Recruitment • Enterprise • SaaS
G2i Inc. is a video-based platform specializing in the hiring of contract or full-time engineers. With a vast pool of over 8,000 engineers, G2i offers quality matches quickly by customizing its sourcing process based on client needs. They provide a 7-day free trial to engage potential hires before making a commitment. The platform emphasizes speed and quality, utilizing video assessments and AI training to ensure engineers meet specific technical standards. G2i handles compliance, international payments, and background checks, providing a streamlined hiring process for companies looking to hire in the US, Canada, Latin America, or Europe. By focusing on technical roles such as JavaScript, Python, iOS, Android, and AI engineers, G2i ensures companies can hire top talent efficiently.
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11 - 50 employees
🎯 Recruiter
🏢 Enterprise
☁️ SaaS
Recruitment • Enterprise • SaaS
G2i Inc. is a video-based platform specializing in the hiring of contract or full-time engineers. With a vast pool of over 8,000 engineers, G2i offers quality matches quickly by customizing its sourcing process based on client needs. They provide a 7-day free trial to engage potential hires before making a commitment. The platform emphasizes speed and quality, utilizing video assessments and AI training to ensure engineers meet specific technical standards. G2i handles compliance, international payments, and background checks, providing a streamlined hiring process for companies looking to hire in the US, Canada, Latin America, or Europe. By focusing on technical roles such as JavaScript, Python, iOS, Android, and AI engineers, G2i ensures companies can hire top talent efficiently.
• Own the roadmap and priorities across data engineering, data science, backend, search and frontend teams • Lead discovery with clients and internal stakeholders using prototypes, demos and working software • Turn business needs into requirements, user stories, business rules and measurable acceptance criteria • Define requirements for document processing, alerts, scoring, evidence presentation, search, review workflows and source traceability • Work with data scientists on evaluation datasets, model metrics, confidence thresholds, and acceptable false-positive and false-negative rates • Work with data engineers on ingestion, normalization, metadata, lineage, processing completeness and data quality • Diagnose whether an issue comes from the UI, data, model, pipeline, search, thresholds or business rules • Favor reusable platform capabilities over one-off client customizations • Coordinate release readiness, client demos and structured feedback • Measure accuracy, completeness, reviewer effort, latency, reliability, adoption and cost • Communicate priorities, tradeoffs and limitations clearly to clients and internal teams
• Senior PM experience delivering AI/ML, data-intensive, search or workflow products • Experience prioritizing work across data, ML, backend and frontend teams • A track record of discovery driven by prototypes or demos • Skill turning business needs into detailed, technical, testable requirements • Experience defining acceptance criteria for probabilistic features such as model outputs, alerts, recommendations or rankings • A solid grasp of data pipelines, APIs, data quality, system dependencies and model behavior • Close working experience with data scientists, data engineers, software engineers and UX • Strong stakeholder management, facilitation, writing and decision-making • Authorized to work in the US, with 3+ consecutive years living in the US • Able and willing to obtain a Public Trust clearance • Nice to have: Document intelligence, OCR, semantic or vector search, generative AI, or human-in-the-loop workflows • Nice to have: Products built on AWS, including S3, DynamoDB, OpenSearch, Step Functions, SQS, EventBridge, Bedrock, SageMaker, or Textract • Nice to have: Regulated, healthcare, medical-device or other high-stakes products • Nice to have: Model governance, explainability, evidence traceability and reviewer workflows • Nice to have: Supporting multiple clients while keeping one coherent, reusable roadmap
• Work-life balance is taken seriously • Remote work arrangement • Opportunity to work embedded with a collaborative client team • Work on visible projects within a small team
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