Skip to content

Open nowPosted 336 days ago

Founding Security Engineer

Pear VC107 open roles

Pay
£75,000 – £100,000 a year
Where
London
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFounding Security EngineerPear VC · London
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Pear VC's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Pear VC postings stay open a median of 13 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 336 days ago

Pear VC median: 13 days open

The posting

ABOUT WEXLER

Wexler is building the best AI system for litigation on the planet. We work with some of the world’s largest law firms, helping them to solve their most complex cases, find the winning strategy in each matter, and create clarity from the chaos of documents and facts in each case. We are a rapidly growing, legal AI company based in London. Clifford Chance, HSFKramer, Goodwin, Addleshaw Goddard and more rely on us to help find the critical facts that can determine their chances of winning a case.

We’re backed with a $5.3M Seed by Pear VC, Seedcamp, The LegalTechFund + many leading industry angels.

We are building a comprehensive AI platform for managing, resolving and preventing legal disputes across Enterprise law firms and Fortune500 companies. We are growing 10x YoY and signing more eminent firms every month. Our system extracts, objective, cross referenced facts from millions of documents, helping litigators win more cases whilst saving months of working hours. In this way we ensure every client gets the representation they deserve.

AI is transforming the law, but most tools have focused on contract law or are generalist copilots that aggregate the tasks lawyers do across practices. Wexler is the leading gen-AI platform specifically built for the nuances of litigation, and our growth proves the story is resonating.

ABOUT THE ROLE

As our first dedicated security hire, you’ll shape and own the foundation of Wexler’s security program — spanning infrastructure, product, and compliance. You’ll work closely with engineering, operations, and leadership to ensure we’re not only secure, but demonstrably so to our customers.

RESPONSIBILITIES:

- Take ownership of existing security tooling and implement new ones (e.g. endpoint protection, MDM, access controls), ensuring they’re effectively configured, maintained, and scaled as the business grows

- Embed secure-by-design practices into the development lifecycle — from secure coding and threat modelling to design reviews and CI/CD hardening

- Monitor systems for irregular behaviour and proactively design detection and prevention mechanisms

- Ensure infrastructure and applications align with accepted industry standards (e.g. OWASP Top 10, AWS Well-Architected Framework)

- Conduct and lead risk assessments, including third-party/vendor reviews and internal evaluations

- Document and maintain security policies, procedures, and controls as part of our ISO 27001-certified ISMS

- Partner with GTM and leadership to demonstrate our security posture and compliance maturity to customers and prospects — helping turn security into a commercial advantage

YOU’LL LOVE THIS ROLE IF YOU:

- Have hands-on experience deploying and managing security tooling (EDR, MDM, ZTNA, vulnerability scanners, etc.) and enjoy solving problems at the implementation level

- Have worked within AWS’s security ecosystem and can comfortably navigate enterprise security tools across vendors

- Have solid foundations in networking, systems, and cloud infrastructure, and can apply frameworks like OWASP and AWS Well-Architected to real-world scenarios

- Have experience reviewing and improving product and infrastructure security, including secure SDLC practices (e.g. threat modelling, secure code review, CI/CD hardening)

- Are familiar with compliance frameworks like ISO 27001 or SOC 2, and can translate technical controls into well-documented policies and audit-ready evidence

- Enjoy automating repetitive security tasks (Python, PowerShell, Bash, or via APIs) to improve efficiency and reduce manual work

- Think proactively about risk reduction — not just fixing bugs but designing processes and controls that uplift the overall security posture

- Have a generalist mindset and thrive across infrastructure, product, and compliance domains

YOU WON’T LOVE THIS ROLE IF YOU:

- Want to do only policy work or only implementation — this is a hands-on, full-spectrum security role

- Prefer a slow pace or require perfect clarity before acting — we move fast and prioritise action

- Feel uncomfortable owning outcomes — you’ll be accountable end-to-end for critical security initiatives

- Prefer maintaining the status quo — we constantly challenge assumptions and iterate on how security should be done

- Need a highly structured environment — we’re still building, and that includes building the playbook as we go

- Struggle with ambiguity or need prescriptive direction — you’ll get support, but autonomy is key

- Wait for others to act — we value initiative and bias for ownership

WHAT WE OFFER:

- Competitive salary and significant equity

- Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI

- Budget for learning and professional growth

- Bi-annual team retreats

- Work closely with experienced founders and a team of AI scientists and engineers

ABOUT THE OPPORTUNITY:

Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That's where Wexler is different. We are a 'scalpel' rather than a 'Swiss Army knife', meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great.

Note: If you think you don't quite fit the bill but you'd still be interested in chatting for a different role, get in touch at [email protected].

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Pear VC's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Pear VC's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Pear VC's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.