Director of Product Marketing, HumanSignal
$195-205k
+ Stock options
Data labelling for machine learning
Be an early applicant
Data labelling for machine learning
21-100 employees
Be an early applicant
$195-205k
+ Stock options
21-100 employees
Company mission
To help data scientists use data to teach ML/AI models how to make the best predictions.
Role
Who you are
- 8+ years of experience in B2B product marketing with the ability to translate complex technical concepts to executive-level business impact
- Experience marketing to data science, AI/ML product leaders and engineers, or MLops personas is a strong plus
- Excellent verbal and written communication skills. Track record of building high-quality, enterprise-focused sales enablement content
- Deep understanding of product positioning, competitive strategy, and product launch frameworks
- Ability to thrive in a lean startup environment, with a strong bias for ownership and action
- Bonus: familiarity with product-led growth (PLG) or open source GTM motions
What the job involves
- We’re looking for a strategic, technically fluent Director of Product Marketing to lead the positioning of our Enterprise platform
- Your mission will be to enable our GTM teams to land new logos and grow existing accounts by creating messaging and collateral that speaks to both the technical value and the business impact of our platform
- Strengthen our ideal customer profile (ICP) and segment messaging by persona and use case
- Build and iterate on executive-level collateral that supports outbound, warm-bound, and expansion efforts
- Lead early positioning and messaging for new Enterprise product launches, including testing and refining based on real market feedback
- Collaborate closely with field teams to prioritize, test, and refine messaging and assets based on real deals and feedback—not just build content in a silo
- Your work will ensure that every GTM touchpoint—from outreach emails to late-stage pitch decks—reinforces a compelling, consistent story about how HumanSignal helps AI teams build smarter, more accurate systems with better data
- Own positioning and messaging for Label Studio Enterprise across key personas, use cases, and verticals—elevating our platform narrative beyond “data labeling” to data-centric AI infrastructure
- Partner with the Product team to position and launch new Tier 1 Enterprise features and services, ensuring messaging clarity and GTM readiness
- Develop competitive positioning and internal training to help Sales differentiate in the market
- Translate customer pain points and success stories into marketing assets that drive pipeline and accelerate deal cycles
- Collaborate with Demand Gen and Content teams to support campaigns, product launches, events, and web strategy with compelling narratives
- Contribute to thought leadership and content development, analyst briefings, and case studies
- Evolve our core messaging framework and work with field teams to ensure consistent delivery across touchpoints
- Within 1 month, you'll:
- Ramp on our platform, positioning, and personas
- Audit and assess existing product marketing content and messaging
- Collaborate with Sales and Product to identify and begin executing on high priority enablement gaps
- Within 3 months, you'll:
- Deliver refreshed positioning and messaging for core enterprise use cases
- Launch a new suite of sales enablement materials tied to key workflows and industries
- Lead product marketing for an upcoming feature or release, from planning to execution
- Within 6 months, you'll:
- Be the go-to resource for enterprise GTM strategy and positioning
- Drive consistency in messaging across sales, marketing, and product
- Contribute to win/loss analysis, sales training, and pipeline acceleration efforts
- Within 1 year, you'll:
- Have helped define our category and product narrative in the AI market
- Lead major product launches, integrated campaigns, and competitive strategy
- Play a pivotal role in enabling scale across our GTM teams
Our take
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access and data security. With industry leaders such as IBM, Nvidia and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide, the competition looks fierce - but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Total funding: $25.2m
Company benefits
- Work from Anywhere
- Equity Options
- Inclusive Culture & Environment
- Annual Team Offsite
- Time off & Vacation
Company HQ
SoMa, San Francisco, CA
Leadership
Michael Malyuk
(Co-Founder & CEO)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(Co-Founder & CTO)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
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