aisnowflakesolution architecturedatabricksfinancial servicespre salescapital marketsinvestment data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко описана и сочетает стратегические предпродажи с конкретной специализацией на инвестиционных данных, давая опыт работы со сложными финансовыми клиентами; при этом требования к отраслевой экспертизе довольно узкие.
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Узкая экспертизаПонятные задачиВлияние на продуктФинансовые технологии
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Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Sales Engineer (Investment Data): Designing and demonstrating enterprise investment data solutions and intelligence platforms for institutional investors with an accent on data governance, investment workflows, and cloud data architectures. Focus on leading complex discovery, building solution architectures, delivering proof-of-concepts, and translating client challenges into measurable business outcomes.
Location: London, England; engagements across EMEA
Company
hirify.global provides an intelligence fabric for capital markets that integrates fragmented data, operations, and workflows into decision-grade investment intelligence for institutional investors, asset managers, and service providers.
What you will do
Own the end-to-end technical sales process for complex enterprise engagements involving managed investment data solutions and the investment intelligence and analytics platform.
Lead technical and functional discovery with prospective clients, identifying data, governance, technology, operating-model, and investment-lifecycle challenges.
Design enterprise-grade solutions covering investment data management, portfolio oversight, rebalancing, data quality, operational resilience, and regulatory obligations.
Deliver scenario-driven product demonstrations and lead high-stakes proofs of concept that reflect client operating models and measurable business outcomes.
Shape technical narratives for RFPs, RFIs, executive presentations, Statements of Work, solution scoping, and deal strategy.
Coordinate handover to Professional Services and implementation teams, collaborate with Sales, Marketing, Product, Engineering, and Delivery, and relay qualified product feedback.
Requirements
Strong experience in financial services, investment management, or capital markets.
Deep understanding of investment data domains and operational workflows, including pricing, benchmarks, corporate actions, reference data, and analytics.
Proven experience in pre-sales, solutions engineering, or consulting roles within enterprise technology or data platforms.
Ability to clearly articulate complex technical concepts to technical and executive stakeholders.
Experience with North American clients’ unique challenges, including exposure to asset managers and asset owners.
Familiarity with modern data platform technologies such as Databricks, Snowflake, or cloud-native data warehouses, and ability to explain data delivery within existing data lakehouse and cloud architectures.
Consultative, outcome-oriented client engagement style; strong written and verbal communication, including executive-level presentations.
Ability to work autonomously in a collaborative, high-performance environment, with commercial awareness and comfort supporting solution scoping and deal strategy.
Ability to leverage AI tools effectively to drive operational efficiency.
Nice to have
Experience with multi-asset investment data, benchmarks, indices, reference data, pricing, ESG, research, performance, risk, attribution, regulatory reporting, data lakes, and data warehouse architectures.
Experience addressing private markets data, custodian transitions, operating-model evolution, regulatory compliance, and internal versus outsourced models.
Ability to articulate investment data flows from source data through regulatory disclosure and communicate credibly with investment professionals, data engineers, risk and compliance leaders, and technology executives.
Culture & Benefits
Work with large and sophisticated asset owners and investment managers.
Contribute to the future of investment data management and operational resilience.
Influence product direction, solution design, and enterprise-scale client success.
Work in a collaborative, intellectually demanding, growth-focused environment.
hirify.global promotes diversity and inclusion across recruitment, retention, career progression, and training and development.
Hiring process
Only selected candidates will be contacted for interviews.
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