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Dre Williams
Senior Account Executive · Mid-Market SaaS
[email protected] · +1 312 555 0518 · Chicago, IL · linkedin.com/in/drewilliams
Summary
Mid-market AE with 6 years selling B2B SaaS. Consistent President's Club performer with 130% average quota attainment. Strong on multi-stakeholder enterprise deals ($50k-$200k ACV) and deep discovery-led methodology.
Experience
Senior Account Executive · Mid-Market, Gong
Jun 2022 – Present
Remote (Central)
- Closed $2.4M in new ARR in FY24 against a $1.8M quota (133%); President's Club.
- Won 3 of the top-10 logos in the segment, including two competitive displacements of Salesloft.
- Mentored 4 incoming AEs; all hit ramp targets within their first full quarter.
Account Executive · SMB, Ramp
Jan 2020 – May 2022
New York, NY
- Closed 240+ new logos at $18k average ACV across two segments.
- Built an outbound playbook for the early-stage YC vertical; adopted by 8 reps team-wide.
- Promoted from SDR to AE in 10 months — top quartile across the cohort.
Sales Development Representative, HubSpot
Aug 2018 – Dec 2019
Cambridge, MA
- Generated 110 qualified opportunities per quarter, 35% above team average.
- Built and rolled out the team's sequence-templates library, used by 30 SDRs.
Education
University of Illinois Urbana-Champaign
— BS Business Administration 2014 – 2018
Skills
Sales Method: MEDDPICC, Command of the Message, Multi-threading, Discovery
Tools: Salesforce, Outreach, Salesloft, Gong, Apollo, LinkedIn Sales Navigator
Verticals: SaaS, Fintech, Marketplaces
Account Executive
Mid-market SaaS · 6 years · 130% quota attainment
Corporate
$ whoami
Sofia Reyes
Data Scientist · ML in Production
$ contact
[email protected]
+1 646 555 0727
Brooklyn, NY
sofiareyes.io
linkedin.com/in/sofiareyes
github.com/sofiareyes
$ stack
ML
PyTorch, TensorFlow, Hugging Face Transformers, XGBoost, scikit-learn
Data & infra
Python, SQL, Spark, Airflow, BigQuery, Vertex AI, Snowflake
Experimentation
Causal inference, A/B testing, Statsig, Bayesian methods
// summary
Data scientist with 5 years shipping ML systems to production at consumer and marketplace companies. Specialized in NLP and recommendation. Built the personalization stack at Etsy that drives 18% of homepage purchases.
// experience
Senior Data Scientist · Etsy
Sep 2022 → Present
· Brooklyn, NY
- Built and shipped the homepage recommender that now drives 18% of purchases (+2.1% lift in conversion).
- Replaced legacy collaborative-filtering pipeline with a two-tower embedding model on Vertex AI.
- Co-authored an internal style guide for offline → online evaluation that's now standard across the org.
Data Scientist · Spotify
Jul 2020 → Aug 2022
· New York, NY
- Improved track-level genre tagging F1 from 0.71 → 0.86 by fine-tuning BERT on Spotify's editorial corpus.
- Designed and ran the A/B test that validated personalized playlist covers (+4% engagement, shipped globally).
// projects
songrec
— Python, FastAPI, React
Side project: hybrid recommender for Spotify playlists. 8k MAU.
// education
Columbia University
— MS (Data Science) 2020
University of Texas at Austin
— BS (Statistics) 2018
Data Scientist
ML in production · NLP & recommender systems
Tech
Jordan Park.
Engineering Manager · Platform
[email protected] • +1 512 555 0314 • Austin, TX • linkedin.com/in/jordanpark
"Engineering manager who grew teams from 4 to 22 across two companies. Player-coach style; ICs say I make their work feel less random. Particular strength in turning ambiguous problem spaces into shippable roadmaps."
— Work
Engineering Manager · Platform @ Vercel
May 2023 — Present
· Remote · Austin, TX
- Manage 3 teams (12 ICs) covering Build, Runtime, and Edge. Quarterly attrition under 5%.
- Drove the planning model that cut quarterly replanning time by half while shipping +18% more work.
- Coached two senior engineers to staff-level promotions in 18 months.
Engineering Manager @ Segment / Twilio
Jun 2019 — Apr 2023
· San Francisco, CA
- Built the data-ingestion team from 2 to 9 engineers across two timezones.
- Owned the v3 ingestion rewrite that took p99 from 4.2s to 380ms.
|
— Skills
Management.
Hiring, Performance, Roadmapping, Coaching, Cross-functional partnership
Technical.
Distributed systems, Data platforms, Reliability
Companies.
Vercel, Twilio Segment, Pivotal
|
— Education
University of Texas at Austin
BS Electrical & Computer Engineering 2014 |
Engineering Manager
Player-coach EM · platform teams · ex-Twilio
Creative
Theo Asher
Founder & CEO · B2B SaaS
[email protected] · +1 415 555 0729 · New York, NY · theoasher.co · linkedin.com/in/theoasher
Two-time founder with both exits ($22M acquihire 2018; $145M acquisition 2024). Operates from idea to Series B with particular strength in finding the early signal in noisy markets and turning it into an enterprise-ready GTM motion.
Experience
| Founder & CEO, Cardinal AI (acquired) | Jan 2021 – Mar 2024 |
New York, NY
- —Took the company from idea to $14M ARR in 30 months; acquired by a public AI company for $145M.
- —Hired the founding team across product, eng, and GTM — 38 employees across 3 timezones at exit.
- —Raised $22M across seed and Series A from Bessemer, First Round, and angels at OpenAI and Stripe.
- —Personally closed 7 of the first 12 enterprise contracts (avg ACV $180k).
| Founder, Loop (acquihired by Notion) | May 2015 – Aug 2018 |
San Francisco, CA
- —Built a developer-facing collaboration tool from $0 to $1.2M ARR before acquihire.
- —Featured on Show HN front page; converted 3% of visitors to paid in the first quarter.
| Product Manager, Stripe | Aug 2012 – Apr 2015 |
San Francisco, CA
- —Early PM hire (#43); owned the developer-onboarding surface during the company's 5×-100× growth phase.
Education
Stanford University
— BS Symbolic Systems 2012
Skills
Leadership · Founding teams, Fundraising, Board management, Hiring exec roles, Recruiting
Domain · B2B SaaS, Enterprise GTM, Developer tools, AI/ML applied
Operating · Zero-to-one product, Pricing & packaging, Sales-led + product-led GTM
Founder
Two exits · B2B SaaS · seed → Series B
Minimalist
Alana Brooks
Marketing Manager · Performance + Content
[email protected] · +1 213 555 0476 · Los Angeles, CA · alanabrooks.com · linkedin.com/in/alanabrooks
Marketing leader with 7 years across DTC and SaaS, blending paid performance and content strategy. Built and ran the marketing function at a $20M ARR SaaS startup; previously scaled paid spend from $0 to $4M/year at a DTC apparel brand.
Experience
| Head of Marketing · Tally (SaaS, Series A) | Feb 2023 – Present |
Remote
- Built the marketing org from scratch — 5 hires across content, paid, and lifecycle within 9 months.
- Drove organic traffic from 12k → 180k monthly via a comparison-content playbook ranking on 40+ competitor keywords.
- Ran ICP-targeted LinkedIn campaigns at $34 CAC against $1,800 ACV; ROAS 11×.
| Senior Performance Marketer · Outpost (DTC apparel) | Aug 2019 – Jan 2023 |
Los Angeles, CA
- Scaled paid social spend from $0 → $4M/year across Meta, TikTok, and YouTube.
- Architected a UGC content engine producing 80+ creative assets per month at $20/asset.
- Built attribution model in BigQuery that surfaced TikTok's true ROAS (4.2× vs. last-click 1.1×).
|
Skills
Paid: Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, YouTube Ads
Content & SEO: Ahrefs, Surfer, Editorial calendar, Long-form briefs, Topical authority
Analytics: GA4, BigQuery, SQL, Mixpanel, Looker Studio
Lifecycle: Customer.io, Iterable, Klaviyo, Segmentation, Lifecycle copy
|
Education
UCLA
BA Communication 2018 |
Marketing Manager
Performance & content · DTC and SaaS
Accent
Priya Shah
Product Manager · B2B SaaS · Growth & Activation
[email protected] | +1 617 555 0319 | Boston, MA | linkedin.com/in/priyashah
"Product manager with 6 years across B2B SaaS, currently focused on activation and onboarding. Shipped Notion's template gallery v2 and led growth experiments at HubSpot that drove $4M in incremental ARR. Strong on data, scrappy when needed."
— Professional Experience —
| Notion | Apr 2022 – Present |
| Product Manager · Growth, Remote |
- Owned the template gallery rebuild; doubled new-user activation rate within 6 weeks of launch.
- Ran 47 growth experiments across signup → first-block-created; achieved 23% relative lift in week-1 retention.
- Built the team's experiment-velocity dashboard, now used by 8 PMs across the company.
| HubSpot | Jun 2019 – Mar 2022 |
| Associate Product Manager → Product Manager, Cambridge, MA |
- Drove $4M in incremental ARR via three pricing experiments on the Starter tier.
- Launched the in-app email composer, used by 60k SMB customers daily within 90 days.
- Promoted from APM to PM in 18 months — half the typical timeline.
— Education —
Tufts University
— BA Quantitative Economics 2019
— Areas of Expertise —
Roadmap planning · User research · Specs & writing · A/B testing · Amplitude · SQL · Looker · Mixpanel · Statistical reasoning · Figma · Linear · Notion · Slack · Statsig
Product Manager
Mid-level PM · B2B SaaS · ex-HubSpot, ex-Notion
Executive
JC
Contact
+1 415 555 0188
[email protected]
San Francisco, CA
jamiechen.design
linkedin.com/in/jamiechen
Education
BFA Communication Design
Carnegie Mellon University
2012 – 2016
Skills
// DESIGN
Figma
Prototyping
Design systems
Motion
Sketch
// RESEARCH
User interviews
Usability testing
Survey design
Accessibility (WCAG 2.2)
// COLLABORATION
Cross-functional partnership
Design critique
Mentorship
Languages
English (native)
Mandarin (conversational)
JAMIE
CHEN
Senior Product Designer · Design Systems & Mobile
Professional Summary
Product designer with 8 years shipping consumer mobile and design-system tooling. Previously led the rider-side redesign at Lyft and contributed to Stripe Tax across US/EU launches. Strong systems thinker; mentors junior designers and partners closely with engineering.
Professional Experience
| Staff Product Designer | Jan 2022 – Present |
Lyft, San Francisco, CA
- Led the rider home redesign that lifted weekly active users 8% in the first quarter post-launch.
- Built a contributor program for the company-wide design system, now used by 11 product teams.
- Mentored 4 junior designers; two were promoted within their first year on the team.
| Senior Product Designer | Jul 2018 – Dec 2021 |
Stripe, San Francisco, CA
- Owned end-to-end design for the Stripe Tax launch across the US and EU markets.
- Shipped a unified invoicing surface that consolidated three legacy products for 200k merchants.
- Drove a research initiative into international onboarding that informed product strategy for two quarters.
| Product Designer | Jun 2016 – Jul 2018 |
Tapestry (acq. by Stripe), San Francisco, CA
- Designed the consumer-facing checkout flow for the flagship app, doubling completion rate.
- Established the company's first design-token system, adopted by both web and iOS.
Senior Product Designer
8 years across Lyft, Stripe, and a Series B startup
Photo
MARCUS REEVES
| Senior Software Engineer · Distributed systems |
Contact
T +1 415 555 0247
E [email protected]
L Remote (USA, Pacific Time)
in linkedin.com/in/marcusreeves
W marcusreeves.dev
G github.com/marcusreeves
Education
BS Computer Science
University of Washington
2011 – 2015
Skills
Languages
Go, Python, Rust, TypeScript, SQL
Infrastructure
Kafka, Pulsar, PostgreSQL, Cassandra, Kubernetes, AWS, Terraform
Observability
Prometheus, OpenTelemetry, Datadog, Grafana
Profile
Backend engineer with 9 years building high-throughput services at observability and fintech companies. Strong on distributed systems, query performance, and team scaling. Currently focused on streaming ingestion pipelines that handle 4M events/sec at peak.
Work Experience
Senior Software Engineer
Datadog
| Remote |
Mar 2021 – Present
- Re-architected the metrics ingestion pipeline to handle 4M events/sec peak, reducing p99 latency 35%.
- Migrated 14 services from Kafka to Pulsar with zero data loss; coordinated across 6 teams.
- Authored the team's on-call runbook and reduced page volume 60% over two quarters.
Software Engineer II
Brex
| San Francisco, CA |
Aug 2018 – Feb 2021
- Built the transaction-categorization service in Go; processes 12M transactions/day.
- Led a quarter-long effort to reduce p95 API latency from 480ms to 110ms.
- Mentored 3 new grads; established a structured onboarding plan now used company-wide.
Software Engineer
Cloudflare
| San Francisco, CA |
Jun 2015 – Jul 2018
- Contributed to the Workers runtime; shipped the initial KV storage write path.
- Built internal tooling to inspect edge cache state, reducing debug time for SREs by ~80%.
Senior Software Engineer
Backend systems · Go & Python · ex-Datadog
Editorial
LENA OKAFOR
+1 415 555 0612 | [email protected] | San Francisco, CA | linkedin.com/in/lenaokafor | lenaokafor.studio
Professional Summary
UX researcher with 7 years across consumer fintech and marketplace products. Specialty in mixed-methods studies that ship — synthesizing qualitative interviews with behavioral data into product decisions teams actually act on.
Diary studies · Generative interviews · Usability testing · Card sorting · Survey design · Co-design workshops · Thematic analysis · Statistical reasoning · Behavioral analytics · Causal inference
Experience
| Senior UX Researcher | Sep 2022 – Present |
Robinhood, Menlo Park, CA
- Lead researcher on the onboarding redesign — qualitative + diary studies that informed a 23% lift in account funding within 30 days.
- Built a continuous research panel of 1,400 active investors; PMs now book 6+ studies per quarter against it.
- Co-authored the company's first research repository taxonomy; adopted across 9 product teams.
| UX Researcher II | Apr 2019 – Aug 2022 |
Airbnb, San Francisco, CA
- Owned host-side research for the trust + safety org; influenced 4 product launches across two release cycles.
- Ran the global multi-method study on the host onboarding gap — directly informed a $12M product investment.
- Mentored 3 junior researchers; 2 promoted within their first review cycle.
Education & Certifications
| MS Human-Computer Interaction / University of Michigan , Ann Arbor, MI | 2019 |
UX Researcher
Mixed methods · consumer fintech · ex-Robinhood
Boardroom
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