招聘
Benefits & Perks
•Healthcare
•Equity
•Flexible Hours
•Remote Work
•Healthcare
•Equity
•Flexible Hours
•Remote Work
Required Skills
SQL
Python
Data modeling
Leadership
Strategic thinking
Build and lead our data function as we scale, partnering with go-to-market and product teams to turn insights into strategic decisions that drive our next phase of growth.
At Sanity.io http://Sanity.io, we’re building the future of AI powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create and automate content the way their business works. Accelerating digital development and super charging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom and Morningbrew are using Sanity to power and automate their content operations.
As our Head of Data & Analytics, you'll build and lead our data function during a pivotal growth phase. You'll be both player and coach – rolling up your sleeves for hands-on technical work while scaling a team of data engineers, analytics engineers, and data analysts. This role sits at the intersection of engineering, product, and go-to-market – you'll be a true partner to sales, marketing, and product leaders, helping shape how we measure success and make strategic decisions.
WHAT YOU WOULD DO:
Build and scale the data team
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Recruit and manage data engineers, analytics engineers, and data analysts
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Foster a high-performing, collaborative culture focused on delivering actionable insights
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Balance hands-on technical work with strategic leadership and team development
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Establish scalable processes and best practices as the team grows
Drive data strategy and infrastructure
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Own our data strategy and ensure alignment with business objectives across product, marketing, and sales
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Design scalable data pipelines, architecture, and governance using modern tools like Big Query, dbt, Airflow, Airbyte and Looker
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Partner with engineering to enhance product telemetry and data collection
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Implement data quality frameworks and monitoring systems
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Build LLM-powered self-serve analytics capabilities that enable teams across the organization to answer their own questions
Be a strategic partner to go-to-market and product
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Work closely with sales, marketing, and product leadership to define and challenge how we measure success
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Bring a strong point of view on B2B SaaS metrics – what to measure, how to measure it, and when our current approach needs rethinking
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Lead strategic analyses on customer behavior, product adoption, pipeline performance, and business health
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Translate complex data into clear recommendations for technical and non-technical stakeholders
ABOUT YOU:
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Based in: San Francisco Bay Area or London, UK and able to work at least 2 days per week in office.
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B2B SaaS experience: You've built and scaled data functions at fast-growing B2B startups. You understand the nuances of B2B metrics and can speak the language of product, sales and marketing leaders
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Experience: 5+ years in data roles with 3+ years building and scaling data teams
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Leadership: Proven ability to define strategy, prioritize ruthlessly, and execute. You're comfortable with ambiguity and can drive change in a fast-moving environment
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AI/LLM fluency: You're excited about using LLMs to democratize data access across the organization and understand how to get good output from AI tools
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Communication: Outstanding ability to influence stakeholders and translate technical concepts into business insights
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Ownership mindset: High accountability and sense of urgency with bias toward action and problem-solving – able to do IC work when needed
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Technical expertise: Strong in SQL, Python, data modeling, and modern data stack (we use Big Query, dbt, Airflow, Looker)
WHAT WE CAN OFFER:
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A highly-skilled, inspiring, and supportive team
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Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
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A global, multi-culturally diverse group of colleagues and customers
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Comprehensive health plans and perks
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A healthy work-life balance that accommodates individual and family needs
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Competitive stock options program
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
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About Sanity

Sanity
BootstrappedSanity is an online Australian music and entertainment retailer. The brand specialises in the sale of CDs, DVDs, Blu-rays and related merchandise and accessories. It is privately owned by Ray Itaoui.
1-50
Employees
Los Angeles
Headquarters
Reviews
3.3
8 reviews
Work Life Balance
3.2
Compensation
3.1
Culture
2.4
Career
2.8
Management
2.1
25%
Recommend to a Friend
Pros
Good salary and benefits packages
Flexible work arrangements and remote options
Career growth and salary advancement potential
Cons
Poor management and leadership issues
Inconsistent workload - either overwhelming or insufficient
Lack of appreciation and recognition
Salary Ranges
0 data points
L4
Mid/L4
L4 · Product Manager
0 reports
$259,520
total / year
Base
-
Stock
-
Bonus
-
$220,590
$298,441
Interview Experience
5 interviews
Difficulty
1.4
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 80%
Neutral 0%
Negative 20%
Interview Process
1
Application Review
2
Phone Screen
3
In-Person Interview
4
Group Assessment
5
Offer
Common Questions
Customer Service Scenarios
Behavioral/STAR
Retail Experience
Availability/Scheduling
Culture Fit
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