Investment Manager

Posted Yesterday
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Vienna, AUT
Hybrid
80K-80K Annually
Mid level
Fintech • Software • Analytics • Financial Services
The Role
Lead AI-enabled investor relations and fundraising operations: build/deploy LLM/agent workflows, create and maintain VC/PE/private credit fund models, produce investor materials, manage communications and data rooms, and own the end-to-end LP commitment process.
Summary Generated by Built In
📍 London · Vienna · Bombay · Singapore · Tokyo · New York · Full-time
Who we are
Private markets are at an inflection point. AI. Generational wealth transfer. Geopolitical fragmentation. Everything is shifting, and the managers who will define what comes next are still invisible to the capital that should be backing them.
That is the problem Allocator One was built to solve. Four years in, we have built thousands of manager relationships across VC, PE, and private credit, backed the top 3% through two vintages, and generated 10 unicorns in the portfolio. We are nowhere near done.
Alongside backing managers, we built Infra One: an AI-native fund operating platform that enables GPs to fundraise seamlessly across global markets, focus on value creation, and give their LPs real-time data and intelligence. The data compounds with every fund we touch. The pattern recognition gets sharper every vintage. The edge widens every quarter.
We back the specialist emerging managers the rest of the market hasn't found yet: the ones too early, too focused, and too unconventional for consensus capital to touch. We find them before the data is obvious and back them before the narrative is written.
This is what building a generational firm feels like from the inside.
Tasks
The role
You will work directly with our founding partner and the broader IR team, sitting at the centre of a fundraising operation scaling fast to meet the demands of the world's most sophisticated allocators.
You know how to hold a room and close a conversation. You are equally at ease building a fund model as you are crafting the narrative that makes an LP lean forward. You don't hand things off. You own them end to end, from the first investor touchpoint to the signed commitment.
What sets you apart is how you operate. AI is baked into your workflow, automating the grind so the team stays focused on high-value conversations, not admin. Materials are tighter, follow-up is faster, and the fundraising pipeline runs with the kind of discipline most GPs spend years trying to install.
What you'll own
AI-powered workflow automation
* Systematically identify and eliminate repetitive manual tasks across the IR function: drafting, reporting, CRM updates, follow-up sequences, scheduling
* Build and deploy AI agent workflows that run in the background of the fundraising operation, not as one-off experiments
* Infra One, our AI-native operating platform, is already deeply embedded in how we work. You will bridge it with IR team operations and push it further
* Make the team measurably faster every month. If a task is done more than twice, it should be automated
Fund modeling & analytics
* Build and maintain fund models across VC, PE/buyout, and private credit to support investor conversations, product structuring, and fund launch decisions
* Use AI to sharpen modeling workflows: scenario generation, sensitivity analysis, and automated validation against live platform data
* Translate financial outputs into clean, investor-ready narratives the IR team can use without needing a translator
Investor relations & communications
* Own and produce all investor-facing materials: pitch decks, fund updates, LP memos, one-pagers, data room content, blurbs, and mandate specs, all with a consistent institutional-grade voice
* Manage investor communications across every channel: email, WhatsApp, LinkedIn, event follow-up. You are the voice of the IR function when it matters most
* Structure, maintain, and govern data rooms across active fundraises, accurate, current, and access-controlled at all times
* Create and maintain a library of reusable IR content including messaging frameworks, objection handlers, and FAQs that the whole team can deploy at spee
Requirements
What we're looking for
* Financially fluent. You understand fund economics: management fees, carry, waterfalls, IRR, LP return profiles. You can build a VC or PE model from scratch and explain it clearly in conversation
* Genuine passion for private markets. A space you understand deeply, see the gaps and inefficiencies, you want to reshape it rather than inheriting the old playbook
* AI-native. You have built workflows with LLMs and agents, not just used them. You think about automation the way a good operator thinks about hiring: the first question is always whether a system can do it better
* Outstanding communicator. You write with precision, adapt your tone to the audience, and are compelling in a room. From a cold LP email to a presentation in front of a sovereign wealth fund, you own it
* End-to-end ownership mentality. You don't pass things off. You track, follow up, and close. The details are the reputation and nothing falls through the cracks on your watch
* Proactive by default. You see a gap, a bottleneck, an inefficiency, and you fix it before anyone asks
* Nice to have: CRM platform experience (HubSpot, Salesforce, or similar), familiarity with data room tools, knowledge of tokenization or digital assets in a private markets context
* Languages: English fluency required
Benefits
What you’ll get
* €80,000+ /year + performance bonus depending on level of experience
* Performance bonus tied to jointly defined OKRs, because sharp work deserves sharp recognition
* A high-standards, low-ego culture. We challenge each other's thinking, not each other's character
* Offices in London, Vienna, Bombay, Singapore, Tokyo, New York, with remote flexibility built in
* Direct access to the full architecture of a fast-scaling private markets platform and a front row seat to how the world's best emerging managers get built and backed
* Global events worth attending: the kind where you actually meet the people shaping the next decade of private markets
* Real ownership. If you're exceptional, the role grows with you
Why this role exists
We are building a generational firm to invest in the best emerging fund managers at scale. Allocator One exists to give allocators trusted access to specialist investors, real market intelligence, and the tools to actively participate.
In a fragmented, AI-accelerating world, selection and transparency decide outcomes, we know the gaps on both sides of the table. So we built the selection engine, the trust network, and the infrastructure to close them. Not to participate in private markets. To shape how they work. This role sits at the heart of that mission.
If this is your lane, we want to hear from you.

Skills Required

  • Build and maintain fund models across VC, PE/buyout, and private credit
  • Deep understanding of fund economics (management fees, carry, waterfalls, IRR, LP return profiles)
  • Experience building workflows with LLMs and AI agents (AI-native automation experience)
  • Outstanding written and verbal communication; English fluency required
  • End-to-end ownership mentality with strong follow-up and execution skills
  • Proactive problem-solving and operational improvement orientation
  • CRM platform experience (HubSpot, Salesforce, or similar)
  • Familiarity with data room tools and governance
  • Knowledge of tokenization or digital assets in a private markets context
Am I A Good Fit?
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The Company
42 Employees
Year Founded: 2012

What We Do

Allocator is a data technology and software-as-a-service company providing integrated data and software solutions to the alternative investments industry. Its platform enables private capital investors to aggregate, organize, and standardize unstructured investment data reported by General Partners, helping them transform their research processes and investment operations through a world-class data and analytics platform.

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