Jack & Jill

About the Company

Ok, I'll go first. I'm Jack, an AI that gets to know you deeply, what you’re great at and what you want out of your career. I then work to make that a reality – finding the best fit public job listings as they come up, supporting with applications, interview prep, and moral support. I also work together with my partner Jill to find off-market opportunities and introduce you directly to companies, just like a recruiter would. And I'm Jill, an AI that spends time with hiring managers and talent teams to really understand their company, their open roles, and who will thrive there. I work with Jack to find great fit people, like a headhunter with 1000x the network. Head to website and have a chat with us, we're always online.

Listed Jobs

Company Name

Jack & Jill

Job Title

VP Data & Engineering (£120,000 - £150,000 + Equity) at Sanogenetics.com

Job Description

Job title: VP Data & Engineering Role Summary: Senior technical leader reporting to the CEO, responsible for designing and executing the engineering strategy for a multi‑modal data platform that ingests, standardizes, validates, and delivers genomics, electronic medical record (EMR), and patient‑reported outcome data for life‑saving clinical trials. Expectations: • Own the end‑to‑end data platform vision and architecture. • Build a high‑performance engineering organization and foster a culture of ownership and technical excellence. • Deliver production‑grade data pipelines that meet regulatory and security standards. • Partner with product and commercial teams to align technology roadmaps with business goals. • Maintain a secure‑by‑default approach for sensitive PII/PHI data and uphold rigorous operational discipline. Key Responsibilities: 1. Design, develop, and continuously enhance a scalable, secure multi‑modal data platform. 2. Oversee the ingestion, standardization, validation, and enrichment of genomics, EMR, lab results, and patient‑reported outcomes. 3. Recruit, mentor, and grow a high‑performing engineering team; implement pragmatic processes and ownership metrics. 4. Collaborate with SVP of Product and cross‑functional stakeholders to ensure technical roadmaps align with commercial objectives. 5. Ensure data quality, provenance, and compliance with regulatory requirements, including HIPAA/UK GDPR. 6. Champion a culture of continuous improvement, automation, and data‑driven decision making. 7. Communicate progress, risks, and strategic initiatives to senior leadership. Required Skills: - Proven experience delivering production‑grade data pipelines in fast‑paced, high‑growth startups. - Deep expertise in systems design for sensitive data (PII/PHI) with a secure‑by‑default mindset. - Strong leadership and people‑management skills, including hiring, coaching, and scaling teams. - Ability to navigate ambiguity, make pragmatic trade‑offs, and influence cross‑functional partners. - Excellent communication and stakeholder management. - Solid knowledge of cloud platforms (AWS/GCP/Azure), data warehousing, ETL/ELT, and data modeling. - Experience with genomic data standards (e.g., FASTQ, VCF) and clinical data integration (FHIR, OMOP). - Familiarity with regulatory compliance and data governance frameworks. Required Education & Certifications: - Bachelor’s degree in Computer Science, Bioinformatics, Engineering, or related field (Master’s preferred). - Relevant certifications in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, Azure Solutions Architect), data engineering, or security (CISSP, GRC) are advantageous.

London, United kingdom

Remote

Senior

12-03-2026

Company Name

Jack & Jill

Job Title

Founding Engineer ($160k - $210k + Equity) at Bead AI

Job Description

Job Title: Founding AI Engineer Role Summary Lead the development and scaling of a core audit AI product, creating agentic features that replace manual tasks. Own end‑to‑end AI workflows—from data ingestion and preprocessing through fine‑tuning, evaluation, and deployment—while actively shaping product direction and balancing user feedback with long‑term system health. Expectations - Deliver high‑impact, production‑ready AI features from conception to launch. - Demonstrate strong ownership and autonomy in a fast‑paced environment. - Provide clear, data‑driven insights that influence product roadmap and strategy. - Manage ambiguity, prioritize tasks, and maintain quality under rapid change. Key Responsibilities - Design, build, and scale the backbone of the core audit AI product. - Develop agentic AI features that automate complex or manual processes. - Own AI pipelines: data collection, preprocessing, model fine‑tuning, evaluation, and deployment. - Collaborate with product and design teams to define feature requirements and success metrics. - Collect and incorporate customer feedback to iterate on product features and system robustness. - Contribute to long‑term technical direction, ensuring scalability, maintainability, and ethical AI standards. Required Skills - Proven experience building, launching, and scaling agentic AI systems. - Strong engineering foundation in machine learning, data processing, and model deployment. - Proficiency with Python and popular ML frameworks (e.g., PyTorch, TensorFlow, FastAPI, Docker, CI/CD). - Ability to translate research curiosity into production‑ready solutions. - Excellent problem‑solving skills, self‑motivation, and a collaborative mindset. - Comfortable handling ambiguity, prioritizing effectively, and taking full ownership of projects. Required Education & Certifications - Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or equivalent professional experience). - Strong coding portfolio or relevant project experience in AI/ML is preferred. ---

London, United kingdom

On site

18-03-2026

Company Name

Jack & Jill

Job Title

Machine Learning Engineer at Prelude Labs

Job Description

**Job Title:** Machine Learning Engineer **Role Summary:** Design, train, and deploy advanced deep‑learning models in a fast‑growing AI startup. Apply state‑of‑the‑art research to build production‑grade systems, primarily using PyTorch or JAX, and contribute to scaling efforts for high‑impact machine‑learning problems. **Expectations:** - Minimum 2 years of hands‑on experience developing large language models or comparable deep‑learning projects at top‑tier tech companies or startups. - Demonstrated ability to translate research findings into robust, production‑ready solutions. - Strong problem‑solving skills and capacity to work autonomously within a collaborative, high‑performance team. **Key Responsibilities:** - Design and implement sophisticated deep‑learning architectures and training pipelines. - Optimize models using modern techniques (e.g., advanced optimizers, regularization, curriculum learning). - Evaluate model performance, conduct error analysis, and iterate on improvements. - Deploy and scale models in production environments using PyTorch or JAX. - Stay current with emerging ML literature and integrate relevant advances into system design. **Required Skills:** - Proficiency in Python and deep‑learning frameworks: PyTorch and/or JAX. - In‑depth knowledge of modern neural architectures (e.g., Transformers, attention mechanisms) and optimization strategies. - Experience with large‑scale training, distributed computing, and model deployment pipelines. - Solid understanding of machine‑learning theory, statistics, and data preprocessing. - Ability to write clean, maintainable code and use version‑control systems (Git). **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field (Master’s preferred). - Relevant certifications or documented coursework in deep learning, AI, or related specialties are a plus.

New york, United states

Hybrid

Junior

18-03-2026

Company Name

Jack & Jill

Job Title

Founding Engineer ($180K – $225K + Equity) at Kiloforge

Job Description

Job title: Founding Engineer Role Summary: Lead the engineering of an autonomous app factory that produces one complete niche application per week. Own the full product lifecycle, from ideation and design through deployment and marketing, while scaling a self‑evolving production pipeline for micro‑apps. Drive the technical vision for using large language models as core infrastructure and achieve rapid product‑market fit. Expactations: 5+ years of building and scaling production software for thousands of real users. Proven experience with TypeScript, React, Node, and Python. Deep mastery of LLM integration (Cursor, Claude, GPT‑4). Ability to design and deploy full‑stack solutions, including mobile via SwiftUI. Strong product sense, proactive builder, and capacity to work in a high‑velocity, 0‑to‑1 startup environment. Expected to hit $1M ARR on at least one portfolio app within the first few months. Key Responsibilities: • Ship a complete, market‑ready niche application each week, handling ideation, design, development, deployment, and marketing. • Extract and codify repeatable engineering patterns from manual workflows to build an automated, self‑evolving production pipeline for micro‑apps. • Optimize the cross‑promotion engine and data flywheels to drive growth and achieve $1M ARR targets. • Own infrastructure, deployment pipelines, and mobile development (SwiftUI) for scalable, high‑quality releases. • Collaborate closely with founding AI researchers to integrate advanced LLM capabilities into product features. Required Skills: • TypeScript, React, Node.js, and Python (backend and frontend). • Experience building production‑grade software used by large user bases. • Expertise in integrating and deploying large language models (Cursor, Claude, GPT‑4). • Full‑stack development including infrastructure, CI/CD, cloud services, and mobile (SwiftUI). • Strong problem‑solving, product sense, and ability to work independently in a fast‑moving startup. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (preferred). • Relevant professional certifications (e.g., AWS, Google Cloud, or other cloud provider certifications) are a plus.

San francisco, United states

On site

Mid level

18-03-2026