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Saoirse Ní Cheallaigh-Park
Summary
Staff writer covering AI policy + emerging-tech regulation at a 14M monthly-readers publication; 84 bylines in 2026 (4 cover features); 2 pieces syndicated by Reuters; co-authored 2026 investigation that won SABEW Best in Business. Previously at MIT Technology Review. Published in NYT + Wired + The Atlantic.
Experience
- Bylines: 84 in 2024 (62 reported pieces + 14 explainers + 8 long-form features); features avg 6,800 pageviews + 380 social shares; longest-running explainer series (4 articles, 280k combined pageviews) drove 8,400 newsletter signups.
- Investigation: led 4-month investigation into AI training-data licensing practices (co-authored with 2 reporters + 1 data team member); 14 sources + 4 FOIA requests; published 8,400-word feature Sept 2024; SABEW Best in Business 2024.
- Reuters syndication: 2 pieces syndicated to Reuters in 2024 (combined estimated 4M cross-outlet reach); built relationships with 4 Reuters editors for future syndication.
- Cross-functional: weekly pitch meetings with section editor + ME; partnered with photo (4 photographers) + video (8 video producers) on feature multimedia packages; co-built the AI-coverage glossary with FT, used by 38 reporters across the newsroom.
- Source-building: maintain 184 active source contacts (in Airtable); 38 senior-executive sources, 84 researcher / engineer sources, 62 policy + regulator sources; monthly check-in cadence with top 14 sources.
- Covered AI + biotech beat for 3 years; 4 cover features (combined 480k pageviews + 14k social shares).
- Built relationships with 38 sources across MIT + Stanford + UC Berkeley research labs that still inform current beat.
- 38 pieces across 6 outlets over 18 months; built portfolio + recurring relationships before moving in-house.
- Cover feature at Wired ('The AI Safety Researcher Nobody Reads', Q3 2018) drove 380k pageviews + The Daily quotation.
Awards + Recognition
• SABEW Best in Business 2026 (for AI training-data licensing investigation). • SFJ Best Long-Form Nomination 2026. • ONA finalist 2025 (excellence in technology reporting). • Loeb Award nominee 2024 (for cover feature on AI safety research).
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Leah Okonkwo
Contact
Skills
Education
- Master's capstone: research-repository tooling for distributed UX teams.
Summary
UX designer with four years on the platform team at Helix, a Series B B2B SaaS. Own the research + IA cadence for the merchant dashboard. Most recent project: tree-tested the new navigation across 32 participants — findability lifted from 47% to 78%, shipped to 100% of merchants in Q3.
Experience
Own the research + IA cadence for the merchant dashboard. Partner with two PMs and a 6-engineer team weekly on the planning roadmap.
- Tree-tested the new navigation across 32 participants; findability lifted from 47% to 78%, shipped to 100% of merchants in Q3.
- Ran 18 jobs-to-be-done interviews on the SMB tier; synthesis sourced two roadmap themes for the next two quarters.
- Authored the design-research repository in Dovetail (now 120+ tagged insights); referenced across three product-area planning cycles.
- Partnered with the lead PM on the dashboard IA rebuild; task-completion rate on key flows rose from 62% to 84% post-launch.
Squarespace · New York, NYUX designer on the small-business surfaces team. Promoted from Associate to Junior in 14 months.
- Co-led the formative usability study for the v3 site-builder; recruited 24 participants, ran 18 moderated sessions over 4 weeks.
- Built the team's first IA testing playbook (tree testing + first-click testing + card sorting); now standard before any nav rebuild.
Portfolio
- Helix dashboard IA rebuild— Case study: research → IA → tree testing → ship
- Squarespace v3 site-builder usability— Formative usability protocol + findings + redesign
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Dmitri Volkov
Summary
Senior Growth Marketer at a Series C PLG SaaS; owns the activation + monetization funnel ($14M ARR contribution). Ships 12 experiments/month with 38% positive-result rate. Lifted trial-to-paid conversion 14% → 25% (+11pp) over 18 months. PLG mechanics rebuild (in-product activation flow + freemium-to-paid prompt) drove 7-day activation 42% → 64%.
Experience
Series C PLG SaaS. Owns the activation + monetization funnel. Partners weekly with 2 PMs + 2 engineers + 1 data analyst.
- Experimentation program: 144 experiments shipped in 2024 (avg 12/month); 38% positive (statsig + practically meaningful), 28% null, 34% inconclusive; primary test surfaces: signup, onboarding, pricing page, in-product activation.
- Funnel improvements 2024: signup → trial 38% → 56% (+18pp via signup-form redesign), trial → activated 42% → 64% (+22pp via onboarding rebuild), trial → paid 14% → 25% (+11pp via pricing-page + email-nurture work).
- PLG mechanics: rebuilt the in-product activation flow (5 steps → 3 steps); added Aha! moment trigger at minute 4 (was minute 11); 7-day activation rate rose 42% → 64%; rebuilt the freemium-to-paid prompt + upgrade flow.
- Email lifecycle (Iterable): rebuilt the 14-touch new-user nurture sequence + the 8-touch trial-ending sequence; trial → paid attributable to email 22% (was 14%); avg email open 38%, click 8%.
- Statistical rigor: defined MDE + sample-size requirements per test surface; stopped 12 experiments early for futility per pre-registered stop rules; no peeking, no p-hacking culture.
- Ran 60 experiments across signup + activation surfaces; 32% positive-result rate.
- Co-owned the freemium → paid prompt rebuild that drove +14pp monetization lift in the Pro plan.
Unit Economics + Cross-Functional
• Unit economics partnership: monthly with finance team on CAC payback + LTV/CAC tracking; informed $4.8M of 2026 demand-gen spend allocation based on segment LTV/CAC profiles. • Cross-functional: weekly experiment review with 2 PMs + 1 PM lead + 2 frontend engineers + 1 data analyst; quarterly growth roadmap with VP Product + VP Marketing + Head of Data. • Authored the team's experimentation playbook: hypothesis framework + 6-week test-cycle + post-launch holdout discipline + cross-team learning syndication; adopted across 4 growth pods.
Tools + Stack
Community + Speaking
• Reforge alum — Growth Series (2024) + Retention + Engagement (2025). • Lenny's Slack community member. • Section's Growth Sprint 2026 speaker — 'Building experimentation velocity' (220 in-room). • Mentored 2 growth associates through their first solo experiments; both shipped 4+ experiments by month 6 with positive learnings.
Education
- Beta Gamma Sigma; McCombs Marketing Society President.
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Tiana Adams
Certifications
Skills
Summary
HR Business Partner with five years of B2B SaaS HR experience. Currently support 600 employees across the engineering org at Vellum (Series B). SHRM-CP certified. Workday HCM + Greenhouse + Culture Amp. Most recent work: led the FY26 compensation refresh + the company's first DEI hiring scorecard.
Experience
HRBP supporting 600 employees in the engineering org. Report to the Senior HR Manager; partner weekly with the VP of Engineering + the engineering Director cohort.
- Led the FY24 compensation refresh for the engineering org (320 employees); rolled out standardised salary banding via Pave with the VP of Engineering.
- Designed and shipped the company's first DEI hiring scorecard with TA + the head of engineering; underrepresented hires increased from 18% to 31% of new-hire cohort.
- Investigated and resolved 14 ER cases in FY24; zero litigation, all closed within the company's 30-day SLA.
- Built the company's first PIP framework with a 30/60/90 cadence; PIP completion rate (improvement vs separation) rose from 22% to 53%.
HR Specialist supporting the R&D org (180 employees). Promoted to HRBP after 22 months.
- Owned the FMLA + ADA accommodation processes; reduced average processing time from 11 days to 5.
- Authored the company's first standardised exit-interview protocol; insights drove the FY22 retention strategy.
Education
- Concentration in human resources studies. Beta Gamma Sigma.
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