Intelligent People
Customer Success Manager

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
B2B SaaS | AI / PropTech | London | 4 days per week in office | £40–70k + equity
We are hiring a Customer Success Lead / Customer Success Manager / Customer Success Specialist for an early-stage B2B SaaS business building an AI-powered platform for the property industry.
The platform uses AI to automate operational workloads across property management, including customer communications, compliance workflows, maintenance coordination, and scheduling.
The business is now expanding its Customer Success function as it moves from pilot customers into a growing commercial client base.
There are three separate positions available, with responsibility and salary aligned to level:
- Customer Success Lead – £60–70k + equity
- Customer Success Manager – £50–60k + equity
- Customer Success Specialist – £40–50k + equity
The roles are based in London and require four days per week in the office.
These opportunities are best suited to candidates looking to take the next step in their Customer Success careers and take on meaningful ownership within a fast-growing startup.
For the Customer Success Lead position, the ideal candidate will typically have around 3–4 years of relevant experience, including strong hands-on exposure to Customer Success within an early-stage B2B SaaS environment.
This is a hands-on Lead position and an opportunity to take a significant step up in responsibility, rather than an established Head of Customer Success or senior people-management role.
For the Manager and Specialist positions, we are open to candidates with less experience, including people coming from adjacent client-facing backgrounds such as Sales, GTM, Account Management, Implementation, or other relevant commercial roles.
Across all three positions, we are particularly interested in people with strong academic backgrounds, excellent communication skills, technical aptitude, and genuine hands-on experience using AI to improve how they work.
This is not a traditional relationship-management-only Customer Success role. The strongest candidates will be interested in how software works, comfortable diagnosing technical and operational problems, and excited by the opportunity to use AI and automation to build a highly scalable Customer Success function.
The Customer Success Lead / Customer Success Manager / Customer Success Specialist will:
- Own customer relationships following the sales handover and ensure customers realize clear value from the platform.
- Support customers through onboarding, implementation, and go-live.
- Run kickoff calls, establish onboarding plans, and set clear expectations.
- Coordinate technical implementation with Engineering, including data imports, communications setup, and user configuration.
- Train customer teams on the platform and drive successful product adoption.
- Manage ongoing customer relationships through regular check-ins and performance reviews.
- Monitor customer health, product usage, and performance to identify potential issues early.
- Diagnose whether issues stem from configuration, data quality, user behavior, or genuine product bugs.
- Resolve operational and technical issues directly where possible and escalate confirmed bugs clearly to Engineering.
- Work closely with Product and Engineering to ensure customer feedback informs product development.
- Translate customer feedback into structured and actionable product requirements.
- Support customers as new products, modules, and AI capabilities are launched.
- Help convert pilot customers into paying customers.
- Drive strong retention and minimize churn.
- Identify opportunities for increased product adoption, expansion, and additional revenue.
- Track Customer Success performance across adoption, retention, customer value, and commercial outcomes.
- Help develop the processes, tooling, and operating model required to scale the Customer Success function.
- Use AI and automation to improve onboarding, customer health monitoring, escalation management, reporting, and feedback workflows.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
A key part of the role will be building an AI-first approach to Customer Success. The business wants people who can do more than simply use AI for basic productivity.
Candidates should be interested in designing and deploying workflows and automations that solve real operational problems and allow a small Customer Success team to support a growing customer base efficiently.
Candidates should have:
- For the Lead role, typically around 3–4 years of relevant professional experience, with strong hands-on B2B SaaS Customer Success exposure.
- For the Manager and Specialist roles, relevant Customer Success experience or transferable experience from an adjacent client-facing role.
- Experience in a client-facing B2B SaaS, enterprise software, or technology environment for the more experienced positions.
- Ideally, experience working within an early-stage startup or scaling software business.
- A strong academic background.
- Evidence of strong progression, ownership, and the ability to take on responsibility quickly.
- Genuine hands-on experience using AI tools, workflows, or automation to solve real problems.
- Strong technical curiosity and the ability to become confident with complex software products.
- For the more experienced positions, an understanding of concepts such as APIs, integrations, data imports and exports, or webhooks.
- Strong problem-solving and diagnostic skills.
- Excellent written and verbal communication skills.
- The ability to explain technical concepts clearly to non-technical customers.
- Strong commercial awareness and an understanding of how Customer Success contributes to adoption, retention, and revenue.
- Comfort working in a fast-moving, early-stage startup environment with significant ownership and ambiguity.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Highly advantageous:
- Experience within an early-stage B2B SaaS startup.
- Direct Customer Success experience within a technical SaaS product.
- Experience building Customer Success processes or tooling from scratch.
- Experience building AI-powered workflows, automations, dashboards, or internal tools.
- Experience supporting integrations with CRMs, ERPs, or other third-party systems.
- Familiarity with tools such as HubSpot, Linear, Notion, Slack, or similar SaaS platforms.
- Exposure to communications technology such as WhatsApp Business, Twilio, or email infrastructure.
- Experience supporting enterprise or high-value customers.
- Experience helping customers move from pilot or trial usage into paid contracts.
- Experience working with AI-powered products and setting realistic expectations around AI performance.
- Basic SQL or data-querying capability.
- Experience within PropTech, property management, lettings, or real estate.
Location and working pattern
- London
- 4 days per week in the office
- Full-time
- £40,000–£70,000 + equity, depending on role level
The opportunity
This is an opportunity to join an early-stage AI business while its Customer Success function is still being built.
You will work closely with customers, Product, Engineering, and the founding team, with the opportunity to influence how Customer Success operates as the company scales.
For ambitious candidates with a few years of experience, these roles offer unusually broad ownership across customer relationships, technical implementation, commercial outcomes, product feedback, and AI-powered Customer Success operations.
The Customer Success Lead position, in particular, is suited to someone who has developed quickly within B2B SaaS Customer Success and is now ready to take on broader responsibility within a startup, without needing an extensive prior management background.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location