Krystal Cano

•Advise an agentic AI startup on AI talent strategy, hiring infrastructure & early-stage workforce design across engineering and GTM teams. •Partner with founders & engineering leadership on role scoping, talent mapping & hiring strategy for AI, infrastructure & research-adjacent roles. •Provide input on product direction and go-to-market strategy for AI-driven solutions spanning engineering productivity, hiring platforms & enterprise AI applications. •Contribute domain expertise in generative AI, recruiting systems & workforce transformation to support early-stage scaling decisions. •Bring prior experience from Playco (Sequoia-backed) to advise on go-to-market strategy, early-stage scaling & product positioning across AI-driven platforms, including engineering productivity tools, hiring systems & enterprise AI applications.

Founded 2020 as an advisory practice alongside in-house technical recruiting roles; now primary focus. •Specializing in AI/ML, robotics, LLM infrastructure & research-driven engineering organizations. •Recruit across the full technical stack including AI/ML, LLMs, NLP, deep learning, cloud infrastructure, distributed systems & product roles for VC-backed startups & high-growth companies. •Lead AI & robotics research talent mapping across machine learning, LLM & embodied AI domains, identifying & engaging frontier contributors across academia & top research labs (MIT, Stanford, Harvard, CMU). •Advise founders on robotics & autonomous systems hiring, including confidential early-stage robotics ventures, on talent strategy, role scoping & building technical teams from zero. •Build & scale high-velocity sourcing pipelines using AI-driven search, Boolean/X-ray, LinkedIn Recruiter & predictive analytics. Design recruiting playbooks, job descriptions & structured interview frameworks. •Partner with founders, hiring managers & technical leadership across AI, infrastructure & research-adjacent teams on market mapping, competitive intelligence & compensation benchmarking for specialized technical & research talent. •Founded Limitless AI Career Strategists, operating at the intersection of AI, recruiting & workforce transformation. Help professionals reskill, upskill & pivot into high-impact roles in AI through career strategy, personal branding, LinkedIn optimization, interview prep & compensation negotiation. •Support AI & robotics startups with hiring infrastructure & workforce planning. Open to connecting on AI & robotics research talent, technical sourcing & frontier AI opportunities. I also work 1:1 with engineers, researchers, technical leaders & job seekers navigating the AI job market: career strategy, LinkedIn & resume positioning, interview prep & offer negotiation. Whether you're hiring or job searching, reach out anytime: krystal@limitlessaicareers.com

Note: Advisory role focused on product strategy and talent market insights; not directly responsible for recruiting or hiring at LinkedIn. •Selected by LinkedIn to join an invitation-only advisory panel, recognized for expertise in technical recruiting, AI talent markets, and hiring systems. •Partnered with LinkedIn's product and research teams to inform the design of AI-driven sourcing tools, recruiting workflows, and talent intelligence platforms. •Provided input on how AI is reshaping candidate discovery, evaluation, and hiring decision-making at scale across technical and research hiring. •Contributed market insights on talent supply, competitive hiring dynamics, and recruiter behavior to influence product strategy and ecosystem direction.

In March 2023, I was rear-ended at high speed of 80 mph on a Los Angeles freeway, resulting in a severe knee injury (torn ACL) and extensive rehabilitation of 2+ years, including relearning how to walk. To ensure full recovery and long-term health, I made the intentional decision to step back from work and focus completely on rebuilding my physical strength. During this period, I remained deeply committed to my professional growth. I was accepted into MIT’s in-person AI & Machine Learning Professional Education program on campus in Cambridge, MA, where I focused on AI for recruiting, workforce analytics, automation, and the future of work. My journey of turning a major setback into an opportunity for reinvention was featured in Business Insider, highlighting resilience, adaptability, and long-term career strategy. During this time, I immersed myself in applied research, mentorship, and conferences, deepening my expertise in Generative AI, LLMs, predictive analytics, agentic systems, cloud infrastructure, and talent intelligence. I combined my technical recruiting background with advanced AI strategies, positioning myself to support organizations navigating AI-driven hiring, talent strategy, and workforce transformation.

Served as the primary caretaker for my mother during her recovery from a second Shoulder Rotator Cuff surgery after beating Stage 2 Breast Cancer. We both demonstrated resilience, adaptability & exceptional time management while balancing caregiving with professional development. Proactively advanced expertise in AI/ML, Generative AI for Recruiting, LLMs & workforce analytics through MIT coursework, AI conferences, industry webinars & applied research. Focused on recruiting automation, sourcing optimization, DEI strategy & predictive hiring to stay at the forefront of AI-driven talent acquisition. Expanded technical recruiting knowledge in university recruiting & academic partnerships while deepening skills in talent pooling, competitor analysis, pipeline building & talent market intelligence. Positioned as a thought partner to executives on building global organizations, scaling growth-stage startup environments & aligning best practices across infrastructure roles, executive search & inclusive hiring.

•Sourced & scaled technical talent for ML, infrastructure & DoorDash Labs teams, supporting personalization, recommendation systems, logistics optimization, fraud prevention & early-stage automation/robotics initiatives. •Partnered with senior engineering leadership to design data-driven sourcing strategies across ML, distributed systems, backend & applied AI teams, improving hiring velocity, funnel efficiency & time-to-fill in high-volume environments. •Achieved 140% of DoorDash’s 90-day hiring target despite no onboarding. Advanced 14 candidates to final onsites & secured 2 senior-level offers accepted in 7 weeks (vs. 10 onsites/2 offers required). •Built pipelines across AI/ML domains including deep learning, NLP, search, recommendation systems, computer vision, robotics, distributed systems, backend, cloud infrastructure, SRE & mobile engineering. •Led & designed a DEI sourcing strategy from inception. Partnered with VP Engineering, Director & 5 Engineering Managers. Delivered a 90% increase in diverse funnel strength, improving pass-through rates & hiring outcomes. •Created custom outreach templates on Gem & LinkedIn to scale sourcing of DEI talent while maintaining a high-touch candidate experience. •Identified low ML interview pass rates & initiated a redesigned study guide in partnership with engineering managers; improved pass-through rates by 90% & scaled the approach across multiple engineering teams. •Delivered talent mapping, funnel metrics & competitive intelligence via LinkedIn Talent Insights to guide leadership decisions on hiring strategy & market positioning. •Mentored & scaled a team of 6 junior sourcers on advanced sourcing strategies across AI/ML, infrastructure & research-driven roles, including Boolean/X-ray search, LinkedIn Recruiter, GitHub, Stack Overflow & technical forums. Trained on analytics reporting, funnel metrics, talent mapping & candidate evaluation to improve sourcing efficiency, response rates & pipeline quality.

•Global Talent Acquisition. Selected as a high-velocity deployment sourcer rotating across ML, Ads, Product, backend, full-stack, SRE/platform, cloud/compute, security, mobile (iOS/Android) & data science teams. Filled roles from early-career to Director across highest priority engineering orgs. •Consistently exceeded hiring goals (10 accepted offers/quarter vs. 4 target). Selected to spearhead Twitter’s 1st backend pooled hiring in a net-new Canada market. Partnered with 2 recruiters & 10 hiring managers to fill 10 Senior /Staff diversity hires in 3 months. •Led 2nd pooled hiring initiative for SRE. Secured executive buy-in & accelerated infrastructure hiring by designing a scalable pilot model through XFN collaboration. •Executed 200+ targeted outreach per role, generating 20 qualified candidates weekly in SmartRecruiters ATS. Leveraged advanced sourcing channels including SeekOut, referrals, data scraping, Boolean/X-ray, LinkedIn Talent Insights, Google, GitHub & Stack Overflow. •Built & scaled diverse technical pipelines across ML, Ads & Infra using talent mapping & Tableau analytics to influence sourcing strategy, improve funnel performance & expand outreach to underrepresented talent. Partnered with ML & infrastructure teams supporting AI/ML systems & hiring across research-adjacent & production environments. •Represented Twitter at major technical diversity conferences AfroTech, Grace Hopper & Latinas in Tech, leading targeted outreach & sourcing diverse engineering talent. •Built & scaled pipelines across Ads, Product, ML, Platform & Infrastructure. Recruited PMs & cross-functional hires while partnering with product leaders on market trends, talent gaps & search strategy. •Partnered with HM's on interview design, panel calibration & hiring decisions to improve process efficiency & hiring signal across ML/SRE/Infra teams. •Mentored 4 junior sourcers & reported on outreach performance, response rates & funnel metrics to drive data-informed decisions.

U.S. Talent Acquisition Team at TikTok/ByteDance (Beijing). The world’s most valuable startup ($100B). Scaled TikTok into the #1 downloaded app globally with 1B+ MAUs across 150 markets & 75 languages. Leading destination for short-form mobile. •Built the rocket ship during hypergrowth. Helped launch TikTok’s U.S. Ads Monetization org from inception, hiring for brand-new teams (Brand Ads, Ads Integrity, Ads Infrastructure, Shopping Ads, E-commerce & TikTok Creator Marketplace) that generate billions in revenue. •Partnered directly with Ads Product leadership to recruit for Ads Monetization, Ads Integrity, Ads Infra & Programmatic Advertising roles. Sourced senior talent from Google Ads, Meta Ads, Amazon Advertising & top streaming ad tech ecosystems. •Owned senior-level technical sourcing pipelines for ML, backend & distributed systems, hiring engineers & leaders supporting large-scale AI/ML & data-driven platforms.Skill sets powering TikTok’s recommendation systems (NLP, computer vision, personalization, search & ranking) are built on distributed data infra (Spark, Flink, Kubernetes, microservices). •Delivered consistent high-volume results: screened & submitted 20+ senior-level candidates weekly into Lark ATS while managing 20+ critical high-priority requisitions simultaneously •Implemented DEI-focused strategies, embedded inclusive practices into senior pipelines & improved engagement across underrepresented groups •Leveraged advanced sourcing tech & automation (Hiretual, Boolean/X-Ray, GEM, LinkedIn Talent Insights, AI-powered filters) to optimize outreach, drive diverse hiring & inform decision-making through talent mapping, funnel analytics & A/B testing. •Created scalable sourcing playbooks for ML & infra hiring. Enabled teams to replicate high-velocity pipelines & raise the bar across orgs. •Partnered cross-functionally with recruiters, HM's & global teams across U.S./China to align on hiring strategy, accelerate processes & deliver for critical teams.

Founding Recruiting Team at Playco, Sequoia Capital–backed global gaming unicorn (Series A $100M, $1B valuation). Based in Tokyo & Silicon Valley, Playco pioneered instant games across Facebook, Snapchat, Lime & Disney. •Founding recruiter. Built the recruiting function from zero in a hypergrowth environment. Designed end-to-end recruiting processes & partnered with founders & executives on org design, hiring strategy & global expansion priorities. •Led full-cycle searches across gaming engineering & ML-driven systems (ML, backend, full-stack, mobile iOS/Android), GTM, product, legal & G&A, supporting large-scale data & recommendation systems. •Hired senior leadership including CTO, Head of Engineering, Head of Product, Finance & Business Development, partnering directly with executives on critical leadership builds. •Drove one of the most complex searches of my career, building the company’s legal function from zero outside my core domain. Sourced top-tier General Counsel, Associate Counsel & attorneys (Ivy League-caliber, 5–20+ yrs) with gaming expertise to support global expansion & M&A readiness. •Scaled recruiting from 2 to 7 globally by implementing structured frameworks, funnel metrics & reporting dashboards to drive executive visibility & decision-making. •Partnered directly with founder-level leadership (Zynga founder/CEO) & executive team in strategic hiring roundtables, aligning talent strategy with international expansion across Asia & the U.S. •Introduced & operationalized modern recruiting systems (Gem, Notion, Slack, Trello), replacing manual workflows & improving speed, collaboration across distributed global teams. •Balanced high-volume hiring with executive search, delivering across critical technical & business roles in a fast-paced, ambiguous startup environment. •Recruited globally across Asia, Europe & the U.S., leveraging talent mapping & market intelligence to advise leadership on talent availability, compensation & hiring strategy.

Amazon’s global gaming, esports & livestreaming platform supporting 100M+ monthly users. •Partnered with recruiters & hiring managers to build global talent pipelines across backend, distributed systems, infra, cloud, ML, security, ads tech & mobile engineering organizations across North America, EMEA & APAC. •Delivered high-volume technical sourcing generating 400+ leads/mo (100+/wk) & 20+ recruiter screens/wk across hard-to-fill infrastructure, backend, distributed systems, ML & platform engineering searches. •Delivered high-volume technical sourcing: 400+ leads/mo (100+/wk) & 20+ recruiter screens/wk across infrastructure, distributed systems, ML & platform engineering searches in Greenhouse & iCIMS. •Recruited across engineering, platform, infrastructure, sales & GTM organizations, supporting high-growth hiring initiatives tied to global scaling & operational expansion efforts. •Supported hiring for highly technical, research-adjacent & early-career talent, university recruiting initiatives, PhD-level engineering candidates & emerging ML/systems engineering pipelines. •Developed & executed sourcing campaigns for FAANG-caliber engineering talent leveraging LinkedIn Recruiter, hireEZ/Hiretual, Connectifier, SocialTalent & talent intelligence methodologies to expand reach, increase response rates & lift pass-through. •Drove talent intelligence initiatives including competitor analysis, talent mapping, market calibration, workforce forecasting & location/cost modeling to support strategic hiring plans & hard-to-fill technical searches. •Acted as a thought partner to recruiters & engineering stakeholders on hiring strategy, candidate calibration, interview best practices & bar-raising assessment alignment for backend, infra & ML-related engineering roles. •Supported global hiring initiatives across North America, EMEA & APAC while partnering cross-functionally with HRBPs, recruiting operations & business leadership to improve funnel health & hiring execution.