Full-Time

Head of Data & AI

Posted on 11/19/2024

FutureFit AI

FutureFit AI

11-50 employees

AI-powered career guidance and development tool

Data & Analytics
AI & Machine Learning
Education

Compensation Overview

$200k - $250kAnnually

+ Equity

Senior, Expert

Toronto, ON, Canada + 1 more

More locations: New York, NY, USA

Candidates must live in or be willing to relocate to Toronto or NYC.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI Research
AI & Machine Learning
Required Skills
Data Science
Natural Language Processing (NLP)
Data Analysis
Requirements
  • B2B Startup Experience - You have a proven track record of leading data and AI strategy, development, and evaluation processes in a B2B / B2B2C startup environment, working closely with founders to drive strong execution and expansion through data.
  • Team Leadership - You have 3+ years of experience leading and building high-performing teams designed to work quickly and cross-functionally with technical and business stakeholders. You have experience coaching teams on all stages of model development from discovery and design to evaluation.
  • Data Strategy - You are adept at collaborating and driving data / AI strategy, with accountability for data sources, model, algorithm, and recommender systems execution across the organization.
  • AI Product Expertise - You bring proven data and AI expertise to the table, with past exposure and experience in building AI-driven products and deploying models / algorithms in a production environment. You have deep exposure to NLP models, LLMs, and recommender systems, as well as implementation of ontology frameworks to standardize data structures. (Past experience with labor market data is a plus.)
  • Full-stack Data Portfolio: You have the necessary breadth of knowledge, skills, and experiences to manage a full-stack data portfolio covering data analysis, data science, data engineering, MLOps, and GenAI.
  • Grit - You like to solve challenging problems, are not afraid of the unknown, and are eager to learn and adapt in a fast-paced environment. You still like to get into the weeds! You’re not shy about jumping into technical discovery, iterating on architecture and design, writing code, and solutioning alongside your team.
  • Deeply Curious - You lead with curiosity in everything you do. You constantly seek to understand the 'why' behind user behaviors, customer pain points, and product feedback. This curiosity drives you to ask the right questions, explore new ideas, and push the boundaries of what's possible. You aren't afraid to challenge conventional thinking or blur boundaries in your pursuit of driving success forward.
  • Extreme Ownership - You take radical responsibility for outcomes of the business. You’re not just delivering on product requests and requirements--you seek to understand the problem, find solutions, and direct each step towards success. You lead by example, holding yourself and your team accountable for delivering high-quality results, and have the resilience and determination to push through obstacles and drive projects to successful completion.
Responsibilities
  • Lead all aspects of data strategy and execution, collaborating closely with senior leaders to drive the data vision, define strategic objectives, and develop the data roadmap.
  • Continue to build and mentor a high-performing data team, hiring and guiding data scientists, data engineers, and analysts who can excel and grow with the company.
  • Develop and refine internal data processes to improve accuracy, velocity, and quality in partnership with engineering and product leadership.
  • Work closely with business, product, and engineering teams to define data requirements for key initiatives and platform features.
  • Engage with and drive design approaches for technical data stacks, including pipelines, databases, and analytics tools for scalable data solutions.
  • Lead the development and optimization of NLP models, LLMs, and scalable recommender systems, in support of product objectives for multiple user personas.
  • Design and implement ontology frameworks to standardize data structures, with a focus on leveraging labor market data to drive accurate and consistent model outcomes.
  • Enable data-driven decision-making by executing data initiatives that build infrastructure and analytics capabilities aligned with business objectives.
  • Create and manage data communication processes, including dashboards, reports, documentation, and insights to support stakeholders.
  • Integrate multiple factors into data requirements, such as internationalization (ex. multilingual models), scalability, performance, and product experience.
  • Establish and manage cross-company data governance practices, including data quality standards, responsible AI practices, data privacy protocols, and data lifecycle management, while considering regulatory requirements, including SOC2, GDPR, and IT security / privacy standards.

FutureFit AI offers an AI-powered tool that helps individuals navigate their career paths by assessing their skills, exploring job opportunities, and outlining steps to achieve their goals. This service is particularly beneficial in a rapidly changing job market, targeting both individuals seeking career transitions and organizations supporting employee development. By analyzing labor market data, FutureFit AI provides personalized, actionable career guidance through a subscription model and partnerships with educational institutions and workforce agencies. The company's goal is to transform career transitions by delivering tailored insights that empower users to make informed decisions about their professional futures.

Company Stage

Seed

Total Funding

$5.2M

Headquarters

New York City, New York

Founded

2018

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

2%

2 year growth

5%
Simplify Jobs

Simplify's Take

What believers are saying

  • FutureFit AI's recent funding rounds, including $4.5M and $5.7M CAD, provide financial stability and resources for further innovation and growth.
  • The launch of the AI-powered Career Copilot in beta demonstrates the company's commitment to continuous improvement and user-centric innovation.
  • Partnerships with organizations like Upwardly Global and the National Association of Workforce Boards highlight FutureFit AI's potential to make a significant social impact by aiding underrepresented groups in the job market.

What critics are saying

  • The rapidly changing job market and technological advancements require FutureFit AI to continuously update its platform to stay relevant.
  • Dependence on partnerships and subscriptions for revenue could be risky if these relationships falter or if market conditions change.

What makes FutureFit AI unique

  • FutureFit AI's unique AI-powered tool functions like a GPS for careers, offering personalized, data-driven guidance that sets it apart from traditional career counseling services.
  • The company's focus on leveraging extensive labor market data to provide actionable career advice ensures relevance and accuracy, distinguishing it from competitors.
  • FutureFit AI's partnerships with educational institutions, workforce development agencies, and employers enhance its credibility and expand its reach in the career development market.

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