The Technical Talent Partner will manage the recruiting process for critical roles in Technology and Product, leveraging data-driven methodologies, ensuring talent quality, and navigating offer negotiations.
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
The Role:
As a Technical Talent Partner at TrueML, you will take ownership for sourcing, recruiting, and closing some of our most critical and strategic roles across our Product & Technology (“P&T”)function. You'll work closely with hiring leaders across Software Engineering, Data Science, Machine Learning, UI/UX, and/or Security; acting as their consultative partner through their hiring journey for these timely & important needs. This role will tap your deep knowledge in technical recruiting across the entire breadth of roles found in modern SaaS companies, sometimes simultaneously, or with little time for context-shifting. This means you’ll likely need some experience as a technical recruiter for a high-velocity early or midstage startup or software company.
Closely collaborating with your manager, the Director of Recruiting (as well as other people leaders), you’ll act as a data-driven thought leader for talent acquisition; helping ensure our ability to deliver high-caliber talent within mutually-agreed SLAs. This is NOT a role for someone who wants to manage others or create processes. This is a contract position which requires a scrappy “doer” - someone who has a proven, consistent track record & DEEP technical understanding.
What You’ll Do:
- Take extreme ownership of recruiting & hiring goals, ensuring we’re bringing on the best talent possible while maintaining high hiring velocity.
- Manage the talent pipeline across a number of critical technical roles across the recruiting lifecycle: from top of funnel through to onboarding.
- Conceptualize, craft, and execute successful sourcing strategies - including strong outbound conversion on well-aligned, high-bar candidate.
- Leverage data-driven methodologies & professional expertise to identify opportunities & optimizations in sourcing strategies, closing efforts, pipeline management, interview steps & participants, and/or other recruiting processes.
- Purposefully plan a collaborative Closing Plan and successfully navigate the offer delivery & compensation negotiations; while maintaining cost considerations & the business’ compensation philosophy.
- Help to ensure high hiring bar consistency across subteams and leaders
Who You Are:
- You’ve got a Bachelor's degree from an accredited college or university.
- Likely, you’ve got 7+ years of experience in a full-desk/full-cycle Technical Recruiting function, specifically.
- You’ve been recruiting for software engineering teams with SaaS product companies for 5+ years, which might comprise both internal & external (“agency”) recruiting experiences.
- Ideally, you’ve even got 2+ years experience in a recruiting/staffing agency or other sales-related role…but it isn’t a “hard requirement”
- You’ve owned the offer process for engineers at, and above, a Staff-level, as well as roles in technical leadership (like: Engineering Managers, Sr. EMs, and Directors) at pre-IPO companies where Stock Options are part of the Total Compensation.
- You understand the technology you’re hiring more beyond just keywords - so you don’t have to write code, but people might assume you do/did…(or you might?)
- You’re approaching “AI” with an excited skepticism - experimenting with tools and methods to elevate or optimize your skills, not replace your executive functioning.
- You have a strong first-principles understanding of the power and insights that can be uncovered through properly documented recruiting data, metrics, and reporting.
- You maintain a strong balance of Velocity, with Purpose - capable of finding the balance between “sense of urgency” and “bar-raising talent”
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
Top Skills
Machine Learning
SaaS
Similar Jobs at TrueML
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
As a Senior Engineer I, you will develop and maintain high-volume messaging infrastructure, collaborate with teams, innovate with emerging technologies, and provide mentorship.
Top Skills:
Aws LambdaDockerGithub ActionsGoTerraform
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.
Top Skills:
AWSCdkCloudFormationDatabricksDockerDynamoDBKafkaKubernetesPythonPyTorchSagemakerScikit-LearnSnowflakeTensorFlowTerraform
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems.
Top Skills:
AWSNumpyPandasPythonPyTorchSagemakerTensorFlow
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
