How this shows up in interviews

1. "Walk me through your sales experience — have you actually carried a number?" The overclaiming trap. If you haven't carried a quota, say so plainly, then make your history legible: map each past role onto the org chart (section 2's exercise) with numbers — clients owned, projects grown, demonstrations delivered, evaluations run — and name the seat each sat nearest. Then show you know exactly what the quota-carrying seat involves and why you're choosing it with open eyes. Interviewers forgive a gap they can see you understand; they don't forgive inflation.

2. "What's the difference between an AE and an account manager, and which are you applying for?" A fluency and self-awareness test. AEs hunt new logos on new-business quota; AMs farm existing accounts for renewals and expansion. Define both crisply, map whatever background you have to the nearer motion — client-services and delivery histories lean AM, anything involving winning new work leans AE — then state which motion the role at hand is and why you fit it.

3. "How do you think about pipeline? How much would you need to hit a £600k quota?" They want the coverage arithmetic: at a 25–33% enterprise win rate you'd want 3–4× coverage — roughly £2m of qualified pipeline generated across the year (point-in-time coverage is a separate measure: open pipeline ÷ remaining target) — built continuously, not in Q4 panic. For a first-time seller, doing this arithmetic cold is itself the pass mark; if your past work involved both generating opportunities (outreach, events, proposals) and progressing them to a result, say you've worked both ends of the equation, because most candidates have only worked one.

4. "This is a full-cycle role — prospecting, demoing and closing yourself. How do you feel about that?" Standard at startups. Show you understand why they run full-cycle (headcount economics, learning speed pre-product-market fit, buyer trust), then evidence each component from whatever you've done: sourcing (any cold outreach, networking, event or community work), presenting (demos, teaching, seminars, conference talks), and closing or growing (negotiations, renewals, project extensions, funding won). Acknowledging the discipline cost — prospecting can't stop when deals get exciting — shows you know the failure mode.

5. "What would you want to know about our commission plan before accepting an offer?" A sophistication test and an invitation. Name the real levers: base/variable split, uncapped or not, accelerators, quota level and what percentage of the team hit it last year, ramp schedule, recoverable vs non-recoverable draw. Asking "what was team attainment last year?" marks you as someone who knows OTE can be theatre.

6. "Why sales, with your technical background? You could be an engineer." The career-changer probe — swap "engineer" for scientist, analyst, clinician or consultant as it applies to you. Frame the move as compounding, not a swerve: in complex life-science sales the scarce profile is someone who can run discovery with a lab director, read the technical documentation and hold the commercial thread — and your technical or scientific depth is the half of that profile most salespeople can't buy. Show the commercial half is a choice you're making deliberately, with evidence you've sought out customer-facing, outcome-owned work wherever your old role allowed it.

7. "Sales is brutal — only half of reps hit quota. Why do you want this?" Demonstrate you know the norms — 40–60% attainment years, deliberate over-assignment, PIPs — and that you still prefer measured, leveraged work. Cite whatever revealed preference you have: choosing performance-tied pay or targets before, competitive sport, running anything where results were public and yours. Naming the reality before dismissing it separates informed conviction from bravado.

8. "How would you work with our presales / clinical / customer success colleagues?" A handoff-fluency test. Describe the relay concretely — qualification, AE-led discovery, pulling in the solutions consultant for the technical win and POC, clean handover to implementation and CS, AM-led expansion. If your past work put you at any station of that relay — the technical expert, the delivery lead, the support engineer — say what a good handoff into and out of your old seat looked like; it proves the fluency from lived experience. In clinical AI, add the extra stakeholders: clinical safety, information governance, procurement frameworks.

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Cheat sheet

The two selling modes. Transactional = short cycle, few stakeholders, price-list. Consultative = long cycle, many stakeholders, diagnose-then-prescribe. All of NHS/pharma/lab-software selling is consultative.

The org chart in one line each:

Your map: before any interview, place every past role on the chart — new business or existing relationships? Owned the commercial outcome or supported it? Technical win or relationship? — and describe it in the chart's vocabulary with numbers (clients held, demos given, tenders answered, follow-on work grown). Hiring managers think in these seats; hand them the mapping.

Pay: OTE = base + variable at 100% of quota; not a cap. Ask: split, uncapped?, accelerators?, team attainment last year?, ramp length, draw recoverable or not, clawback window. Reality: 40–60% of reps hit quota in a normal year.

Numbers: Bookings = signed contract value now. Revenue = recognised as delivered. ARR = annualised subscription run-rate. Pipeline = open opportunity value; coverage rule ≈ 3–4× remaining quota at a 25–33% enterprise win rate.

Market carving: SMB (GP practices) / mid-market (biotechs, private hospital groups) / enterprise (top pharma, NHS trusts/ICSs). Territories: geographic patch, named accounts, vertical. Greenfield = no customers yet (ask what you inherit); install base = farm-heavy (ask how the patch performed last year).

Models: Pod = SDR → AE → CSM specialisation; scales but leaks at handoffs. Full-cycle = one AE end-to-end; startups use it for headcount economics, learning speed pre-product-market fit, and buyer trust. One NHS-facing startup's 2026 adverts quoted a high-velocity full-cycle quota (10 GP practices live/week at 70% demo-to-sign); enterprise clinical AI runs on a few huge NHS trust/ICS deals a year. Same NHS, opposite motions.

Survival vocabulary: ramp = reduced-quota grace period (3–12 months; negotiate it with a non-recoverable draw). Forecast = your formal prediction of what closes. PIP = documented underperformance process, often a managed exit. Win rate = % of qualified opps won.

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References & further reading

• Aaron Ross & Marylou Tyler, Predictable Revenue (2011) — the book that codified the SDR/AE specialisation this module calls the pod model; read it to understand the org design most scaled SaaS companies still run, and its blind spots.
• Mark Roberge, The Sales Acceleration Formula (2015) — HubSpot's first sales leader on hiring, training, compensation and metrics; the clearest inside account of how quotas and comp plans are actually engineered.
• Trish Bertuzzi, The Sales Development Playbook (2016) — the standard text on the SDR function; invaluable for decoding what any "business development" job advert really involves before you apply.
• Neil Rackham, SPIN Selling (1988) — consultative selling put on an evidence base, built from analysis of 35,000 sales calls; the research foundation under everything this curriculum calls "discovery".
• Matthew Dixon & Brent Adamson, The Challenger Sale (2011) — CEB's large-scale study of what separates top performers in complex, multi-stakeholder B2B deals — the world NHS and pharma selling lives in.
• Peter Kazanjy, Founding Sales (2020) — the early-stage go-to-market handbook; the best written account of what full-cycle selling at an early-stage startup actually demands.
• 30 Minutes to President's Club (podcast, Nick Cegelski & Armand Farrokh) — short, tactical episodes from practising reps and leaders; the fastest way to absorb how working salespeople actually talk about discovery, pipeline and quota.
• The Bridge Group, SDR and AE Metrics & Compensation reports (free, updated regularly at bridgegroupinc.com) — real benchmark data on quota, attainment, OTE and tenure; the numbers behind this module's "honest numbers".

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