Staff HR Analyst, Tenstorrent
$100-170k
Next-generation computing company building computers for AI
Be an early applicant
Next-generation computing company building computers for AI
1001+ employees
Be an early applicant
$100-170k
1001+ employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
- You’re likely 4 to 6 years into your HR or people analytics journey and ready to take full ownership. You prefer laying the foundation and shaping how data gets used over maintaining someone else's legacy setup
- You can translate complex technical details into plain, natural language, helping non-technical partners build their own data confidence over time
- You’re excited about where data delivery is going. You see standard dashboards as just one tool in the toolkit, and you're eager to build modern data products—whether that means a Tableau dashboard, a conversational AI query interface, or a lightweight custom web page with tailored analytics
- You care about clean data. You’d rather spend the time fixing messy HRIS or ATS logic upstream than constantly patching broken numbers in spreadsheets downstream
- Hands-on SQL skills for pulling and shaping data, paired with familiarity with HR data structures (HRIS, ATS) and spreadsheet modeling in Excel/Google Sheets
- Proven Tableau experience, with a track record of creating intuitive dashboards that stakeholders actually use and adopt
- Excitement to build modern data products—delivering insights through traditional BI, conversational AI interfaces (LLM chat-to-data tools), and simple web pages
- Bonus points for: Modern data stack exposure (dbt, Snowflake, GitHub), lightweight web/scripting skills (Python, Apps Script, HTML/CSS), or workforce planning experience
What the job involves
- HR Analytics at Tenstorrent touches nearly every part of how we hire, plan, and support our business, and the foundation under it is still being built
- This role owns the core building blocks: turning raw HR data into trusted reporting, scalable analytics products, and actionable insights that help leaders make real decisions
- You will spend a meaningful portion of your first year building out our BI tooling environment, improving source-data quality across systems, and forming strong partnerships—from LLM query interfaces to custom web pages
- Above all, you’ll be the teaching-style partner that HRBPs, recruiters, and executives turn to when they need data they can actually trust and act on
- What You Will Learn
- How to design and launch flexible data products using a mix of traditional BI, conversational AI tools, and tailored web pages
- How to resolve complex HR data logic at the source and build governance that scales as the company grows
- Where the real strategic leverage sits in a fast-scaling hardware company, touching every aspect of how we hire, plan, and support the business
Our take
Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$693m
SERIES D
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company HQ
Flemingdon Park, Toronto, ON
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
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