Research Manager, Foundation Models Job at Runway

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders –...

Location

United States

Salary:

Not provided

VAST Data

Expiration Date

Until further notice

Requirements

8+ years of proven experience in product or solution marketing within cloud services, AI/ML platforms, large-scale data infrastructure, data storage, operating systems, or related fields, with a strong understanding of 'as-a-Service' GTM models and/or the needs of large-scale AI research and development
Deep understanding of infrastructure for cloud service providers and/or large-scale AI training/inference clusters, including multi-tenant architectures, service orchestration, distributed computing, virtualization, containers, and unified file/object storage solutions at petabyte to exabyte scale
Familiarity with modern AI/ML data pipelines, the lifecycle of Foundation Models (data ingestion, pre-processing, training, fine-tuning, inference), and analytics workloads, and how they are delivered as cloud services or built in dedicated environments
Strong expertise in aligning complex technical solutions like the VAST AI OS with business-driven objectives for both AI Cloud Providers (e.g., service differentiation, new revenue streams, TCO reduction) and Foundation Model Builders (e.g., faster time-to-model, research breakthroughs, efficient scaling, optimized resource utilization)
Exceptional communication skills, with proven ability to articulate technical concepts clearly to both technical and business audiences
Demonstrated success developing and executing impactful marketing strategies and campaigns
Highly collaborative with a proactive approach to managing cross-functional projects
Willingness to travel for customer engagements, industry events, and internal meetings

Job Responsibility

Develop and execute strategic go-to-market plans tailored to AI Cloud Providers and Foundation Model Builders for the VAST AI OS
Craft compelling, differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers (product management, service architects, business development) and at organizations building Foundation Models (AI researchers, MLOps engineers, data scientists, infrastructure leads)
Conduct market analysis, identifying trends, threats, and opportunities in the AI cloud services, large-scale AI model development, and underlying data infrastructure landscape, relevant to the VAST AI OS
Translate complex technical features of the VAST AI OS into clear benefits for AI Cloud Providers (service differentiation, revenue opportunities, TCO) and for Foundation Model Builders (accelerated training, reduced data management overhead, faster iteration cycles, scalable deployment)
Serve as an expert resource on architectures for AI cloud services and large-scale model development, including multi-tenancy, service orchestration, distributed training, high-performance data pipelines, and how the VAST AI OS underpins these for AI-as-a-Service and Foundation Model lifecycles, emphasizing unified file and object storage, data protection, compliance, and security
Collaborate closely with Product Management and Engineering to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights for AI services and model development
Create high-impact sales tools, presentations, reference architectures, product demonstrations, webinars, and training materials for the VAST AI OS that effectively communicate technical and business advantages to and through AI Cloud Providers, and directly to organizations building Foundation Models
Support partner development, sales teams, and direct engagement efforts with strategic responses to AI Cloud Provider opportunities, Foundation Model initiatives leveraging the VAST AI OS, and joint RFI/RFPs
Engage regularly with AI Cloud Providers and key players in the Foundation Model ecosystem to capture insights, validate VAST AI OS positioning, and foster advocacy and joint marketing opportunities
Produce influential content for the VAST AI OS including whitepapers, case studies, solution briefs, blogs, and FAQs tailored to AI Cloud Provider and Foundation Model Builder audiences and their respective customers or users

Fulltime

Strategy and Business Operations Senior Manager

Atlassian is seeking a Strategy and Business Operations Senior Manager to partne...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in corporate strategy, product/platform strategy, strategic finance, or similar, and have a foundational understanding of platform and SaaS business models
demonstrated experience in contributing to business case development/strategic recommendations from end-to-end
proficiency in financial modelling and building revenue and cost drivers
experience supporting qualitative and quantitative customer or market research
excellent verbal & written communications skills

Job Responsibility

Drive and influence the long-term vision for Atlassian's user-facing platform capabilities
partner directly with product and go-to-market teams to support the delivery of strategic recommendations and analyses
build financial and analytical models to identify measurable insights, exercise sound business judgement, and develop recommendations to influence and drive consensus across functional leaders
define appropriate goals/OKRs to track progress against strategic objectives
keep a tight pulse on business performance and reporting, including quarterbacking a cross-functional team to diagnose problems when they occur

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

Fulltime

Research Engineer / Research Scientist - Foundations Retrieval Lead

The Foundations Research team works on high-risk, high-reward ideas that could s...

Location

United States , San Francisco

Salary:

445000.00 - 555000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Proven experience leading high-performance teams of researchers or engineers in ML infrastructure or foundational research
Deep technical expertise in representation learning, embedding models, or vector retrieval systems
Familiarity with transformer-based LLMs and how embedding spaces can interact with language model objectives
Research experience in areas such as contrastive learning, supervised or unsupervised embedding learning, or metric learning
A track record of building or scaling large machine learning systems, particularly embedding pipelines in production or research contexts
A first-principles mindset for challenging assumptions about how retrieval and memory should work for large models

Job Responsibility

Lead research into embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning
Manage a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models
Drive innovation in dense, sparse, and hybrid representation techniques, metric learning, and learning-to-retrieve systems
Collaborate closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle
Contribute to OpenAI’s long-term vision of AI systems with memory and knowledge access capabilities rooted in learned representations

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Private Markets Quantitative Modeler

This team provides quantitative modeling solutions for private markets across a ...

Location

United States , New York

Salary:

170000.00 - 225000.00 USD / Year

BlackRock Investments

Expiration Date

May 25, 2026

Requirements

Ph.D. in Finance, Economics, Statistics, or a related quantitative field
3+ years of experience in empirical financial modeling or quantitative research in industry or academia
Strong foundation in empirical modeling, including time-series analysis and Bayesian methods
Proficiency in Python and willingness to adopt new tools, libraries, and technologies
Demonstrated ability to conduct rigorous empirical research, manage complex datasets, and design well-structured analyses
Effective communicator capable of explaining quantitative concepts to diverse audiences and collaborating across technical and nontechnical teams

Job Responsibility

Lead the research, design, and development of new Nowcasting and valuation models across additional private asset classes
Conduct empirical research to calibrate models to private market data and evaluate performance using backtesting, benchmarking, and robustness analysis
Build, maintain, and productionize model codebases, ensuring reliability, transparency, and scalability
Partner with internal stakeholders to define use cases, communicate model behavior and limitations, and support integration into investment and analytics workflows
Contribute to research publications, conference presentations, and client-facing discussions highlighting the team’s modeling innovations
Support broader Private Markets SWAT Team initiatives, including bespoke modeling projects for portfolio management or advisory teams

What we offer

Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)

Fulltime

New

Research Scientist / Engineer – Foundation Model: Core Research

This is a rare and foundational opportunity to define the future of multimodal A...

Location

United States , Palo Alto

Salary:

250000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

A Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Physics, or Mathematics is essential
A 'first-principles' intuition for scaling
Fluent in the language of frontier AI
Proven ability to design and rigorously analyze experiments and to articulate complex technical concepts effectively
Practical experience with distributed or high-performance computing environments, particularly managing and optimizing training runs on large-scale GPU clusters

Job Responsibility

Unified Modeling & Efficiency Drive the core research that powers all of Luma's products — co-designing multimodal representations, advancing core algorithms for long-context training, and establishing rigorous scaling laws to predict performance across compute budgets
Alignment & Evaluation Close the gap between training loss and user experience. Develop proxy tasks and automated metrics that serve as the compass for research decisions — ensuring our models optimize for what actually matters to users, not just benchmarks
Research Infrastructure Build the engine for high-velocity research. Maintain production-research parity, ensure reproducibility, and design systems for rapid experimentation — so that novel ideas go from hypothesis to validated result as fast as possible

Fulltime

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community

AI Data Manager

This is not a standard data management role; it’s a rare opportunity to be at th...

Location

United States , Palo Alto

Salary:

140000.00 - 260000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience in AI data operations, human data annotation, or a similar data-centric role within a top-tier AI company
direct experience translating complex researcher needs into effective data curation and annotation workflows
highly adaptable and thrive on cross-functional collaboration, with a proven ability to work across a comprehensive data pipeline, not just within a single vertical like human annotation
experience working with vision or multimodal data pipelines
a hands-on individual contributor who is driven by the work, not by people management

Job Responsibility

Translate researcher needs into actionable data annotation and curation strategies for our SOTA vision, 3D, and audio models
own and manage end-to-end data pipelines and annotation workflows, collaborating with external partners and labeling teams to ensure the highest quality data
provide horizontal management across multiple data pipelines, ensuring consistency and quality as we expand into new modalities
develop innovative data curation strategies, working with a diverse mix of human-annotated, raw, and synthetic data to solve complex model challenges
partner directly with researchers to diagnose model performance issues and propose data-driven solutions to improve results
define the standards for data quality and annotation excellence, establishing the foundation for how Luma scales its data operations

Fulltime

Senior Product Manager, SDK & Developer Primitives

We’re looking for a Senior Product Manager, SDK & Developer Primitives to help d...

Location

United States

Salary:

180000.00 - 230000.00 USD / Year

Temporal

Expiration Date

Until further notice

Requirements

A strong technical foundation and the ability to dive deep with engineers—experience working with developer platforms, SDKs, APIs, or infrastructure products is required
Hands-on experience writing code in one or more languages (e.g., Go, Java, TypeScript, Python, Rust, etc.)
Prior experience building or contributing to developer tools, programming models, or infrastructure abstractions
A developer-first mindset and a passion for improving the ergonomics, usability, and clarity of complex systems
Ability to turn ambiguous problems into clear product requirements and prioritize trade-offs to deliver impact quickly
Strong understanding of Product Management fundamentals, including product lifecycle management, market research, roadmap development, prioritization, and translating customer needs into actionable product requirements
5+ years of experience in Product Management, or a hybrid background that includes software engineering and product work

Job Responsibility

Own and evolve the core programming primitives that make up the Temporal SDKs—ensuring they are consistent, composable, and aligned with the expectations of modern developers
Engage deeply with the developer community to understand how real teams use Temporal, where the abstractions help, and where they get in the way
Define product strategy and roadmap for Temporal’s SDK and programming model in close collaboration with product, engineering, and key design partners
Translate complex technical requirements into simple, usable, and scalable developer experiences
Collaborate with teams across SDKs, server, and web UI to ensure a cohesive and forward-looking developer platform
Represent the voice of the developer in all product decisions, ensuring the tools we build help users ship reliable systems with less cognitive overhead

What we offer

Unlimited PTO, 12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more
$3,600 / Year Work from Home Meals
$1,500 / Year Career Development & Learning
$1,200 / Year Lifestyle Spending Account
$1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment)
$500 / Year Professional Memberships

Fulltime

Research Manager, Foundation Models

Runway

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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