Double Discovery Call with Live Coaching
Coachability — the #1 predictor of sales success
The best hiring tasks from 200+ top tech companies — curated from research across GTM, Growth, Partnerships, DevRel, FDE, and Chief of Staff roles.
Coachability — the #1 predictor of sales success
Coachability under pressure, ego management

Communication clarity, presence, energy — before investing any human time
Raw analytical ability, reading comprehension, numerical reasoning
Strategic thinking, market understanding, written communication
Territory planning, strategic thinking, presentation skills under pressure
Full-funnel outbound skills — written AND verbal
Self-awareness, coachability, intellectual honesty
Analytical depth — can this marketer actually query data?
Prioritization frameworks, creative thinking, strategic reasoning
Everything — actual work output, cultural fit, collaboration, speed
Communication skills + product fluency (using the product to interview for the product)

AI-native growth skills — the emerging "Vibe Growth Manager"
Thinking quality, communication, self-awareness — without credential bias
Strategic partner thinking, go-to-market design, revenue planning
Written strategic thinking — can they distill complex partnerships into clear prose?
Deep technical understanding of partner ecosystem, persistence, thoroughness
Product fluency, genuine interest, actual skill
Raw ability — without the performance theater of video interviews
Core teaching ability — the essence of DevRel
Can they actually build with your product?
Content quality, technical depth, communication — with maximum candidate respect
Code review skills, community interaction, technical communication
Real-world engineering — not LeetCode, but actual building
Diagnostic thinking — can they find and fix bugs in unfamiliar code?
Teaching ability + technical depth on their strongest topic
Code quality + communication (the two halves of FDE work)
Writing quality and strategic thinking — before any human investment
Self-awareness, intellectual honesty, realistic threat assessment
Strategic analysis, executive communication, presence under pressure

Cultural alignment, assessed by someone with NO stake in the hire
Analytical thinking + written communication — Stripe's #1 hiring signal
Genuine alignment with company mission — not checkbox, but real conviction
Raw problem-solving on YOUR actual challenges
EVERYTHING — actual work, cultural fit, collaboration, endurance

Discovery call execution, ability to absorb real-time coaching, and behavioral adaptability under observation
Whether a candidate can run a coherent full sales cycle in one session — qualifying, uncovering pain, and demoing to what they discovered
Strategic GTM thinking — whether a candidate can evaluate market opportunity, build an entry thesis, and defend it under pressure

Post-sale thinking, solution design instinct, and ability to communicate a complex implementation plan concisely to a panel
How a candidate thinks about building pipeline from zero — account prioritization, outreach logic, and long-horizon ramp strategy
Ability to translate a technical or complex product into specific, role-relevant use cases and sell a vision — not just features — to a mixed panel

Baseline behavioral and cognitive fit with the role profile before investing recruiter time — filters for drive, dominance, and pattern matching to top performers
Structured thinking with incomplete data and comfort making assumptions out loud

Creative growth thinking beyond standard product levers — loops, network effects, and unconventional channels
Depth of product intuition and ability to find growth opportunities inside an existing user journey
Written clarity, strategic reasoning, and ability to drive adoption without engineering resources
Cross-functional thinking and ability to own a full GTM motion — from positioning to activation to measurement
SQL fluency, cohort thinking, and ability to translate raw data into a prioritized growth recommendation
Ability to diagnose an existing content program, identify gaps, and build a prioritized editorial roadmap
Ability to translate product capabilities into sharp customer-facing positioning, copy hierarchy, and launch narrative
Internalization of brand voice, copy editing instincts, and ability to rewrite at scale without losing the original meaning
Lifecycle copywriting, segmentation logic, and understanding of how email moves prospects through a funnel
Ability to synthesize a marketing recommendation, communicate it clearly on camera, and operate in an async-first environment
Strategic campaign thinking, ability to brief creative teams, and judgment when reviewing work against a brief

Editorial voice, speed under deadline pressure, ability to make complex or dry topics genuinely engaging for a specific audience
SEO strategy depth, ability to translate keyword research into actionable content briefs, and understanding of search intent at different funnel stages
Ability to conduct a customer discovery conversation, extract the right story beats, and transform raw notes into a publishable case study

Platform-native content thinking, understanding of organic social mechanics, and ability to build a consistent content engine across channels
Content creation quality, strategic thinking behind community decisions, and ability to apply data analytics to community and content strategy
Real-time crisis communication, de-escalation under pressure, ability to balance transparency with brand safety, and instinct for when to escalate vs. handle independently
Structured thinking about community health, ability to diagnose problems from observable signals, and quality of prioritization in a resource-constrained environment
Ability to design a community program from scratch, understanding of developer audience dynamics, and strategic sequencing of community-building activities
Genuine familiarity with open-source community culture, ability to create value for contributors (not just extract it), and practical community facilitation skills in a technical environment
Versatility across community communication formats, brand voice internalization, and ability to modulate tone for different audiences and urgency levels — all under time pressure
Data literacy in a community context, ability to distinguish signal from noise in engagement metrics, and quality of strategic recommendations derived from quantitative data
Systems thinking about the member lifecycle, ability to design activation sequences that convert lurkers into contributors, and understanding of community as a retention and product feedback mechanism
Whether the candidate can independently select a compelling technical topic, structure a narrative for a mixed audience, and field live questions — all core to the developer advocate role.
Real output quality, autonomy, communication, and culture fit — evaluated through a full day of actual DevRel work rather than simulated interview scenarios.
Strategic thinking about developer content — whether the candidate approaches it as a craft based on audience research and data, or defaults to intuition and personal taste.
Real-time audience adaptation — the single most important DevRel skill — by putting the candidate in an improvised teaching scenario with a defined fictional audience.
Strategic ownership and product instinct — whether the candidate can diagnose a community's state, prioritize high-leverage channels, and defend a concrete growth plan rather than a list of generic tactics.
Ability to break down ambiguous real-world problems into structured solutions while explaining technical reasoning to non-technical stakeholders.
Whether the candidate can build a working, production-quality AI application using LLM APIs — including prompt engineering, agent design, and delivering something a customer could actually use.

Whether the candidate can write correct, pragmatic code in a domain-specific context — and whether their problem-solving instincts translate to high-stakes, operationally constrained environments.
Real-world engineering judgment — how a candidate reviews code written by others, gives constructive feedback, and writes new code collaboratively with tests first.

Whether the candidate understands ML system fundamentals well enough to identify problems — and whether they can translate those findings into a clear, credible briefing for a non-technical business audience.
Whether a candidate can navigate and fix real code they've never seen before — then design a production-grade system under deployment constraints that mirror actual customer environments.

Ability to identify a high-fit integration opportunity, define joint value, and present a full partnership GTM plan end-to-end
Structured thinking, commercial acumen, and ability to communicate a partner strategy in writing — without the crutch of a slide deck
Ability to design a structured partner program from scratch — tiers, incentives, onboarding, and success metrics — for a fast-scaling ecosystem
Operational rigor, process-building instincts, and ability to turn partner program chaos into repeatable systems under real constraints
Written communication, self-awareness, and ability to think strategically about partnerships without the scaffolding of a resume or template

Ability to run a high-stakes partner conversation — diagnose underperformance, align on a joint plan, and hold a partner accountable without breaking the relationship
Strategic storytelling, data fluency, and ability to run a high-stakes executive business review

Ability to identify early churn signals, build a save plan, and execute a difficult customer conversation
Ability to structure a repeatable onboarding process that drives time-to-value and early adoption
Communication quality, prioritization judgment, and ability to de-escalate under pressure in writing
Ability to diagnose low adoption, design a targeted engagement plan, and tie product usage to business outcomes

Capacity planning judgment, risk scoring instincts, and ability to make defensible triage decisions across a large book of business

Ability to uncover expansion opportunities through discovery, not pitching — and to build a land-and-expand narrative
Ability to translate vague customer goals into a concrete, measurable success plan — and to do it collaboratively in real time
Real-world operational judgment, bias for action, and cultural fit through two days of working alongside the team on a live project.

First-impression communication, structured thinking under pressure, and the ability to present ideas clearly without preparation time — before any human interview interaction.
Sustained performance across back-to-back interviews — how candidates maintain energy, consistency, and decision quality when fatigued, mirroring the real stamina demands of a Chief of Staff.
Real-time collaboration, intellectual generosity, and whether the candidate treats an interview as a joint problem-solving session or a solo performance — a direct signal for CoS effectiveness.
Business judgment on pricing and go-to-market tradeoffs in real time — evaluating whether the candidate can reason through complex product strategy decisions the way an ops leader embedded with a CEO would.
Ability to diagnose pipeline quality issues, identify revenue risk, and communicate findings to a sales leadership audience
Systematic thinking about data hygiene, ability to prioritize CRM fixes by business impact, and how candidates structure a remediation plan without disrupting live deals

Whether a candidate can build a bottoms-up revenue forecast from raw data, document their assumptions explicitly, and defend the model under scrutiny
Systems thinking around GTM process design — specifically how candidates architect lead routing logic, handle edge cases, and document decisions for cross-functional stakeholders

Ability to translate GTM strategy into a reporting layer that different stakeholders can actually use — without over-engineering or under-scoping
Strategic and quantitative thinking around how candidates design fair, motivating territory and quota structures from imperfect data — and how they handle rep pushback
Vendor evaluation skills, total cost of ownership thinking, and ability to build consensus for a tech decision across Sales, Marketing, and Finance stakeholders
Whether the candidate can independently source qualified candidates for a real open role and articulate why each profile fits.
Whether the candidate can communicate clearly and persuasively in written form — from cold outreach to offer summaries — without over-engineering their language.
Whether the candidate can analyze a real recruiting challenge, design a structured response, and present their thinking to a senior audience under pressure.
Whether the candidate can construct effective search strings on the spot, navigate sourcing tools in real time, and explain their thinking as they work.
Whether the candidate applies a genuinely high talent bar, can identify 'stunning colleagues' versus merely competent ones, and advocates for quality over speed of hire.
Whether the candidate can run a productive intake meeting, push back on unrealistic expectations, and set up a search for success without losing the hiring manager's trust.
Whether the candidate raises the overall hiring bar by demonstrating leadership principles through structured behavioral evidence — not just role fit.

Whether the candidate can actually do the work — not whether they interview well — by paying them to complete a real, bounded project before any offer is made.
What colleagues who have actually worked with the candidate think about their real performance, character, and growth — not the curated story the candidate tells.
Whether the candidate can think clearly, communicate precisely, and operate effectively without synchronous interaction — the core skill in any remote or async-first environment.
The full arc of a candidate's career — patterns of growth, recurring strengths, recurring failures, and whether they have consistently been an A-player across every role they've held.
Strategic product thinking, written communication, and ability to diagnose real business problems with a concrete plan
Competitive analysis depth, strategic thinking, and ability to turn research into actionable product decisions
Statistical reasoning, business judgment, and ability to make a clear recommendation when data is ambiguous
Ability to define metrics, design measurement approaches, and make business recommendations — not just run models