Tianna Johnson

Constraint as Curriculum

Johnson was a teacher in what she describes as her first life. In the nonprofit world that followed, she absorbed HR and recruiting responsibilities not because she chose them but because there was no one else to do them. That is where she learned the discipline that would define everything after: how to recruit with little to no tools and no money to spend. Scarcity taught her to treat process itself as the asset.

A little under 20 years ago she moved into tech, and she has been building and scaling people and talent teams from the ground up ever since. She was early at GitHub, where she stood up people and talent functions and did technical recruiting and talent operations, in her words, before it was a thing. She then moved to Lyft, joining roughly two years before the IPO and running technical recruiting while helping build hiring for new lines of business. Notion came next, and with it the first-people-person mandate: build the function, build the team, build the operating system, and keep all three intact through a tenfold-plus increase in headcount.

Her own firm is the natural next chapter. Rather than pour two decades of playbooks into a single company, she now partners with many, bringing the same operating rigor to organizations at wildly different stages.

The People Who Opened the Door

Johnson is specific about who made the trajectory possible. Caitlin Cook hired her at GitHub at a moment when Johnson had no brand-name tech pedigree to point to. Cook saw that she could translate her skills into the for-profit world and gave her the thing early-career talent people rarely get: repeated at-bats. "She was really, really instrumental in me kind of having the freedom and the opportunity to now do what I do," Johnson says. The relationship has since come full circle. Cook recently joined Johnson's company.

The second name is Marianne Brown, now chief people officer at Lovable. Johnson hired Brown to be her own boss at Notion, an act of confidence in its own right, and then watched her build what remains, in Johnson's estimation, one of the most incredible teams she has ever worked on. What she took from Brown was a model of leadership rather than a technique: care deeply about the team, invest in the people on it, and earn the kind of industry-wide respect that follows compassion rather than volume.

Small but Mighty

Much of the talent profession has treated AI as an existential threat. Johnson sees continuity instead. For more than a decade, her core question has been the same one AI now answers faster: how do you buy people back time through operational efficiency? Having spent years on the operations side hunting for repeatable processes and workflows, she treats AI as an accelerant rather than a replacement. Calendar matching is her favorite illustration. Lining up availability across a hiring loop is not the highest use of a human being's day, and a tool can handle it.

The proof is in her own firm. People Culture Talent runs with a team of six that she estimates is doing the work of a 30-person team, an efficiency built by pushing repeatable process into AI-enabled workflows. What the team buys back with that time is deliberately human: relationship building, community investment, more in-person time with clients and with each other, and simply checking in on one another. Efficiency, in her hands, is not a cost-cutting story. It is how she protects the parts of recruiting that no machine can absorb.

Hire for Slope, Not Just for Resume

Johnson's advice to other talent leaders is shaped by the market they are living in. Teams are smaller than they used to be, hiring budgets are tighter, and the industry has become fixated on talent density. Her counsel is to pursue it more creatively. Instead of chasing candidates who already hold every line of experience, she argues for identifying slope: people who have the core, unteachable qualities and can be built up around them. "Part of our job is to actually identify some of the talent of the future and some of the talent leaders of the future," she says, and to spend real time and real IP helping them grow.

The second half of that advice is to become builders. Johnson wants talent professionals investing in people who want to construct new workflows with AI tools, and investing in one another. Her sharpest line is a challenge to the profession's habit of benchmarking itself into paralysis: pick your head up and look forward at what a talent team could be, rather than staring at what everyone else is doing. The landscape is moving too quickly, she notes, to keep hiring the same profile the industry has hired for the last five years.

She grounds this in a claim about the function's real leverage. Talent is one of the only teams that sits with every leader in a company and therefore sees the whole board. "We are the ones actually driving business change," she says. "Our role is even more important as talent leaders because we have eyes into everything happening in the business."

An Indigenous Lens on Building

There is a dimension to Johnson's work that has nothing to do with tooling. She is Native Hawaiian, and running her own firm has given her room to build through an indigenous lens and a more creative one, an approach she describes as really, really fun. It reads as a through line rather than a footnote: the teacher who learned recruiting without resources, the operator who protects human connection by streamlining everything around it, the leader who bets on potential because someone once bet on hers.

She is equally quick to point at the community around her, naming leaders she considers standard-setters in the field: Katie Wagner for her work building enablement for talent and people leaders, Mike Joyner for the people analytics and data side of talent operations, Adam Ward, head of talent at Cursor and previously a leader at Pinterest and a founding partner at Growth by Design, and Tessa Wilder, a colleague from both GitHub and Lyft who is thinking about tooling in genuinely interesting ways. For a leader who has built talent functions from nothing three times over, the instinct to credit others is not modesty. It is the same instinct that makes her good at the job.