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Mit Phd Jobs (NOW HIRING)

... MIT PhD), a CS Professor at UIUC who has deployed cutting edge AI into industries spanning agriculture to space. Our team are builders that come from Google DeepMind, Meta, MIT, McKinsey, Twitter ...

Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and ...

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and ...

Product Marketing Manager

New York, NY · On-site

$170K - $210K/yr

Why Join Us • Be part of a YC-backed company building the foundational layer for enterprise AI adoption. • Work directly with MIT PhD founders and early team members to shape company strategy and ...

PhD in Aerospace Engineering, Electrical Engineering, Computer Engineering, or related field. In ... MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we ...

PhD in Aerospace Engineering, Electrical Engineering, Computer Engineering, or related field. In ... MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we ...

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Mit Phd information

See salary details

$20K

$78.2K

$163K

How much do mit phd jobs pay per year?

As of Sep 2, 2026, the average yearly pay for mit phd in the United States is $78,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What are MIT PhD programs?

MIT PhD programs are rigorous, research-focused doctoral programs offered by the Massachusetts Institute of Technology in a wide range of disciplines, including engineering, sciences, social sciences, and more. These programs aim to develop scholars capable of conducting original research that advances knowledge in their fields. Admission is highly competitive, and students work closely with faculty advisors while fulfilling coursework, exams, and dissertation requirements. Graduates often pursue careers in academia, industry, research, or entrepreneurship.

What are some common challenges faced by MIT PhD students during their research journey?

MIT PhD students often encounter challenges such as balancing coursework with demanding research projects, navigating the high expectations for innovation, and managing their time effectively. Collaboration with advisors and research teams is critical, but it can also involve learning to communicate complex ideas and receive constructive feedback. Additionally, students may face periods of uncertainty or setbacks in their research, so resilience and strong support networks are key to overcoming obstacles and making steady progress.

What are the key skills and qualifications needed to thrive as an MIT PhD graduate, and why are they important?

To thrive as an MIT PhD graduate, you need advanced expertise in your field, strong research skills, and a completed doctoral degree in your area of study. Familiarity with specialized research tools, programming languages, data analysis software, and laboratory equipment is typically required, along with peer-reviewed publications. Exceptional critical thinking, perseverance, and clear communication help distinguish top candidates in both academic and industry roles. These skills and qualifications are crucial for driving innovation, conducting rigorous research, and contributing meaningfully to your discipline.

What is the difference between Mit Phd vs Data Scientist?

AspectMit PhdData Scientist
Required CredentialsPhD in relevant field, advanced research skillsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsCorporate, tech companies, consulting firms
Industry UsageAcademic research, specialized R&D rolesData analysis, predictive modeling, business insights

While a Mit Phd focuses on advanced research and academic or R&D roles, a Data Scientist applies data analysis skills in industry settings. Both roles require strong analytical skills, but the Mit Phd emphasizes research expertise, whereas Data Scientists focus on practical data applications in business.

More about Mit Phd jobs

What cities are hiring for Mit Phd jobs?

Cities with the most Mit Phd job openings:

What states have the most Mit Phd jobs?

States with the most job openings for Mit Phd jobs include:

Infographic showing various Mit Phd job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $78,242 per year, or $37.6 per hour.

Customer Success Manager

Worktrace AI

San Francisco, CA • On-site

Other

Medical, Dental, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

The Role

As the company's first Customer Success Manager, you will combine customer obsession with AI fluency to help enterprises successfully use Worktrace AI. You'll partner directly with customers to drive onboarding, use, and expansion of Worktrace within their company. You'll also be an internal champion for customers to improve the product based on their feedback. You'll see firsthand how companies transform their business processes with AI and play a key role in making that transformation happen.

What You'll Do

Serve as the primary point of contact to customers for driving successful onboarding, use, and expansion of the product

Diagnose issues by using AI, technical tools, and collaborating with internal engineering teams

Manage vendor onboarding and customer security questionnaires

Translate customer feedback into actionable product improvements

Build customer relationships through regular communication with sponsors and product users

Proactively identify issues to provide a seamless customer experience

Build a deep judgement on customer needs and advocate for those needs internally

Identify opportunities to grow the business within large enterprises

Develop internal playbooks and automations to improve support quality

You'll Excel In This Role If You

Have 6+ years experience in customer success, account management or post-sales for technical B2B products

Have expert troubleshooting skills using an AI-first mindset and modern technical tools like Sentry, PostHog, and Supabase

Have experience collaborating cross-functionally on complex escalations

Are customer-obsessed, proactive, and take full ownership of outcomes, from first issue to final resolution

Are passionate about helping enterprises adopt AI

Benefits And Perks

Top-of-market salary and equity

Visa sponsorship

Generous health and dental insurance for you and dependents

Unlimited PTO

401K

The Team

Our founders are Angela Jiang (CMU PhD), an early product manager at OpenAI and led the launches of GPT-3.5 and GPT-4, and Deepak Vasisht (MIT PhD), a CS Professor at UIUC who has deployed cutting edge AI into industries spanning agriculture to space. Our team are builders that come from Google DeepMind, Meta, MIT, McKinsey, Twitter, Uber, and HPE. Join us.

Backed By The Best In AI And Enterprise

We are supported with a $9.4M seed round led by 8VC and Conviction with participation from funds like OpenAI, SV Angel, and Genius Ventures. Our angels include industry leaders, including Mira Murati (CEO of Thinking Machines Lab), Nick Turley (Head of ChatGPT), Logan Kilpatrick (Google DeepMind), and Ranveer Chandra (Microsoft).