Shaped is the fastest path to relevant recommendation and search systems. We help companies turn their behavioral data into truly relevant product and website experiences.

We're a Series A company based in Brooklyn, New York and backed by top investors from Madrona, Y-Combinator, and executives from Meta, Google, Amazon and Uber!

Shaped is seeking a highly versatile and hands-on Chief of Staff to join our rapidly growing team. We're an AI-powered SaaS company revolutionizing how businesses deliver engaging user experiences through cutting-edge search & recommendations technology. As we scale the company from Series A to beyond, we need an exceptional operator who can wear multiple hats, with a particular focus on leading all recruiting efforts while building other critical business functions from the ground up.

As Chief of Staff, you'll be both a strategic partner to our executive team and the operational backbone of our organization. For the next 12 months, you'll serve as our primary recruiter while managing everything from day-to-day operations to financial operations and team logistics. If you're an organized, detail-oriented problem-solver who thrives in a fast-paced environment and has a passion for building great teams, we want to talk to you.

What you’ll be doing:

Recruiting & Talent Acquisition (40% of your time)

• Own end-to-end recruiting process for all roles across our organization
• Develop and implement recruiting strategies to attract top talent
• Build and maintain relationships with external recruiting agencies and talent networks
• Create and optimize recruiting workflows, from job descriptions to offer letters to onboarding
• Conduct initial candidate screening and manage the interview process
• Coordinate with hiring managers to define role requirements and ideal candidate profiles
• Lead candidate experience and employer branding initiatives

Operations & Office Management (25% of your time)

• Lead office operations, including securing and managing new office space, purchasing equipment, and maintaining vendor relationships
• Oversee facility management, ensuring a productive work environment for the team
• Manage company-wide logistics, including team offsites, conference attendance, and business travel arrangements
• Handle vendor relationships, bill payments, and basic financial operations

People Operations & HR (20% of your time)

• Manage HR operations including payroll, benefits administration, and our HR platform (Rippling)
• Plan and execute team events, offsites, and culture-building initiatives
• Develop and implement HR policies and procedures
• Manage new hire onboarding and employee experience

Financial & Executive Operations (15% of your time)

• Support strategic initiatives including quarterly planning and OKR development
• Prepare materials for board meetings, investor updates, and all-hands meetings
• Assist with financial operations, including expense management and basic accounting tasks
• Manage cash flow operations and bank account transfers

What We're Looking For:

Experience:

• 5+ years of professional experience with at least 2 years in recruiting or talent acquisition
• Experience at a fast-growing startup preferred
• Track record of building and implementing operational processes from scratch

Skills & Capabilities:

• Recruiting Excellence: Strong ability to source, evaluate, and close candidates, particularly for technical roles
• Operational Excellence: Exceptional organizational skills with attention to detail and ability to manage multiple priorities
• People Management: Deep understanding of recruiting best practices, HR operations, and building company culture
• Communication: Outstanding written and verbal communication skills, particularly in candidate interactions
• Problem Solving: Ability to tackle ambiguous challenges and create structure where none exists

Nice-to-Have:

• Experience with applicant tracking systems and recruiting tools
• Technical knowledge or background that helps evaluate engineering and science candidates
• Experience with HR platforms (especially Rippling)
• Background in office management or facilities operations
• Knowledge of startup financial operations and accounting

What We Offer:

• Competitive salary
• Benefits:
  • Unlimited PTO with flexible time-off policies
  • Comprehensive health benefits (medical, dental, vision)
  • 401K plan
  • Significant equity in a fast-growing, Series A company

Why Join Our Team?

• Work alongside our founding team of AI veterans from Meta, Google, Uber, and Amazon as we make state-of-the-art AI for recommendations and search accessible to all businesses
• Own critical business operations and help build the foundation for scale
• Drive the growth of our team during a crucial phase of company expansion
• Join our in-person team in Brooklyn, NY
• Be part of a company backed by leading investors, including Madrona and Y-Combinator

This role reports directly to our CEO and offers a unique opportunity to shape our team and company culture while gaining exposure to all aspects of scaling a Series A startup. The right candidate will have the opportunity to build out their own recruiting team as we grow.

Customers typically use Shaped as follows:

1. Connect your data stack, e.g. data warehouse, database or analytics applications
2. Define your model. This includes your optimization objective (e.g. clicks vs purchases vs shares), item and user catalogs, feature types and model types.
3. Consume your results from our real-time, scalable ranking endpoints
4. Evaluate uplift and model results on our dashboard.

To power all of this, under the hood, we've built a multi-tenanted, real-time machine learning architecture which automatically sets-up and ingests data both in real-time and batch, transforms data and stores it into our proprietary feature/vector store. Ranking models are continuously optimized and fine-tuned based on real-time feedback ensuring customers are seeing the most relevant and up-to-date results possible.

From a machine-learning perspective we use state-of-the-art large scale neural encoding models to understand multi-modal data types such as image, text, audio and tabular data. We provide an exhaustive library of retrieval, ranking and ordering algorithms which are selected based on the specified model definition.

We use both AWS and GCP for cloud. Kubernetes for serverless infrastructure. Python, Javascript and Rust for languages.