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Manager Ai Researcher Jobs (NOW HIRING)

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

Senior Engineering Manager, AI

Austin, TX · On-site

$234K - $296K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Your Impact As a Senior Engineering Manager, AI , you will lead a high-performing team building ...

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... About This Role We're hiring an AI Product Manager to build the next generation of investor-facing ...

OR · On-site

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... About This Role We're hiring an AI Product Manager to build the next generation of investor-facing ...

They are seeking a Senior Product Manager, AI to lead the development of AI-powered capabilities ... research, gathering feedback, and translating insights into product improvements • Define and ...

Partner with our AI Research and Detection Engineering teams to translate frontier LLM research ... Product Leadership: 8+ years of experience in Product Management within the cybersecurity or AI ...

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Manager Ai Researcher information

See salary details

$75K

$120.1K

$157K

How much do manager ai researcher jobs pay per year?

As of Aug 12, 2026, the average yearly pay for manager ai researcher in the United States is $120,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

How does a Manager AI Researcher typically balance hands-on research with team leadership responsibilities?

As a Manager AI Researcher, you'll often need to strike a balance between contributing directly to research projects and overseeing the team's progress. While you may still participate in designing experiments or reviewing technical work, much of your time will be devoted to mentoring junior researchers, setting project priorities, and collaborating with cross-functional teams such as product or engineering. Strong communication and organizational skills are essential, as you'll be responsible for aligning research goals with business objectives while fostering a collaborative, innovative environment.

What are the key skills and qualifications needed to thrive as a Manager AI Researcher, and why are they important?

To thrive as a Manager AI Researcher, you need deep expertise in machine learning, data science, and computer science, typically supported by an advanced degree (PhD or Master's) and experience leading research projects. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and project management tools is essential, along with staying current on the latest research trends. Strong leadership, communication, and collaboration skills are crucial for guiding teams, fostering innovation, and translating research into practical applications. These skills and qualities enable effective team management, drive cutting-edge research, and ensure successful integration of AI solutions into organizational goals.

What does a Manager AI Researcher do?

A Manager AI Researcher leads a team of artificial intelligence researchers in designing, developing, and implementing innovative AI models and solutions. They oversee research projects, set strategic goals, and collaborate with cross-functional teams to translate research findings into practical applications. In addition to their technical expertise, they are responsible for mentoring researchers, managing project timelines and budgets, and ensuring the team stays up to date with the latest advancements in AI.

What is the difference between Manager Ai Researcher vs Data Scientist?

AspectManager Ai ResearcherData Scientist
Required CredentialsMaster's or PhD in AI, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentLeads AI research teams, collaborates with engineers and product teamsAnalyzes data, builds models, supports decision-making
Industry UsageUsed in AI-focused companies, research labs, tech firmsWidely used across industries like finance, healthcare, tech

While both roles require strong technical skills and a background in data or AI, the Manager Ai Researcher focuses on leading AI research initiatives and managing teams, whereas the Data Scientist primarily analyzes data and develops models to inform business decisions.

More about Manager Ai Researcher jobs
What cities are hiring for Manager Ai Researcher jobs? Cities with the most Manager Ai Researcher job openings:
What are the most commonly searched types of Ai Researcher jobs? The most popular types of Ai Researcher jobs are:
What states have the most Manager Ai Researcher jobs? States with the most job openings for Manager Ai Researcher jobs include:
Infographic showing various Manager Ai Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $120,088 per year, or $57.7 per hour.

Product Manager, AI Infrastructure

Together AI

San Francisco, CA • On-site

Full-time

Medical

Re-posted 18 days ago


Job description

About the Role

Our product surface is expanding fast - GPU clusters, managed storage, networking, and observability - and we're adding a Product Manager to the Together Cloud team to own the day-to-day product work that keeps these AI infrastructure products moving. You'll start across the full surface, with an early focus on observability and GPU Clusters, partnering closely with engineering to ship the feature work that customers feel every day.

This is a role for someone who runs toward problems. You won't be handed a backlog and asked to coordinate it - you'll find the issues others haven't spotted yet, drive them to resolution, and use data and experimentation to decide what to build. You'll have real autonomy from day one, and the breadth of working across compute, storage, and observability that few PM roles offer.

It's also a role with a clear path. Within roughly nine months, the goal is for you to grow into full ownership of a complete product area - observability or storage as your own. You'll report directly to a Staff Product Manager, and our product leadership (including our CPO) is closely involved with this team. If you want to build infrastructure that the AI ecosystem runs on, and earn ownership quickly by proving you can operate, this is that seat.

Responsibilities
  • Own the day-to-day product and feature work across Together's AI infrastructure products - GPU Clusters, Managed Storage, and observability - with an early focus on observability and storage.
  • Find and drive problems to resolution with minimal guidance, including issues that aren't yet on anyone's radar.
  • Run structured, hypothesis-driven experiments - reading the data yourself and driving the data collection and instrumentation needed to answer open questions.
  • Partner across engineering, product, and partner teams to ship improvements and unblock work without waiting for permission.
  • Translate a deep understanding of customers operating in fast-moving, high-ambiguity markets into product decisions.
  • Juggle multiple priorities and workstreams across a broad infrastructure surface.
  • Grow into end-to-end ownership of a complete product area (observability or storage) as you ramp.
Requirements
  • Deep empathy for customers operating in high-ambiguity, fast-evolving markets; we work with AI Native startups and model labs that move at high pace
  • Strong, hands-on data and analytics skills with a hypothesis-driven approach - you design experiments, read the data yourself, and can drive the data collection needed to get answers.
  • High agency: you find problems, push through resistance, and drive resolution without waiting to be told what to do.
  • A real technical foundation -whether from an AI/infrastructure background, hands-on software development, or strong working knowledge of cloud and infrastructure.
  • A track record of collaborating across orgs and product lines to get things done.
  • Comfortable managing multiple priorities and workstreams at once.
  • Familiarity with the AI stack, especially at the infrastructure layer, is a strong plus.
  • Cloud platform experience (AWS, Azure, GCP, or similar) - with extra weight if you've helped build such products.
  • Bonus: working knowledge of the Nvidia/AMD GPU stack (InfiniBand, NCCL, GPU operator, etc.), or experience with AI training or inference workloads.
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 175,000 - 220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.