Jobs at Landytech

Own revenue operations across marketing, partnerships, sales, and customer-facing teams. Design lead-to-revenue processes, administer the GTM technology stack, maintain CRM data quality, build pipeline and forecasting dashboards, and lead forecasting reviews. Identify and implement AI use cases, including automated enrichment, lead research, call analysis, and forecasting support. Train teams, manage adoption, and partner with IT, Security, and Legal on data privacy and governance.

Design scalable investment-platform solutions, optimize client workflows, support onboarding and adoption, deliver training and demonstrations, manage complex escalations, test new functionality, provide product feedback, enable internal teams, and support presales and expansion opportunities. The role requires expertise in investment operations, portfolio analytics, reporting, risk, cash management, private assets, and financial data workflows, along with interest in AI and automation.

Owns end-to-end design and delivery of scalable Kotlin and Java backend systems for a fintech SaaS platform. Partners closely with Product, architects distributed services, models complex financial data, builds reliable ingestion pipelines, and ensures security, performance, observability, testing, and availability. The role remains hands-on while mentoring engineers, shaping technical standards, reviewing AI-generated code, and leading significant cross-service initiatives.

Manage and grow relationships with private banks, referral partners, technology providers, and community partners. Enable partners through product training and sales materials, generate partner-sourced pipeline, maintain CRM data quality, and coordinate opportunities with Sales. Develop account plans, monitor partner performance, support reviews, and coordinate joint marketing, campaigns, and events across internal teams.

Qualify inbound leads, conduct targeted outbound prospecting, book qualified sales meetings, and maintain accurate CRM records. The role partners with Marketing, Sales, Growth, Product Marketing, and Partnerships on ABM campaigns and pipeline development. It also involves researching prospects, improving lead routing, testing messaging, and implementing AI-assisted automation across the GTM workflow. Candidates should be commercially confident, articulate, organized, analytical, and comfortable engaging senior financial-services prospects.

Own new-business enterprise sales for Landytech’s investment technology solutions. Identify and develop opportunities, lead consultative discovery, manage complex multi-stakeholder evaluations, build business cases, coordinate technical specialists, handle RFPs and procurement, negotiate contracts, forecast accurately, and close high-value deals with financial institutions and investment organizations.

Manage the full client lifecycle for investment-management customers using the Sesame SaaS platform. Lead onboarding, adoption, governance, retention, renewals, and expansion across a portfolio of accounts. Apply investment-product and platform expertise to identify issues, improve workflows, and coordinate solutions with Product, Support, Data, Client Delivery, and Engineering. Use analytics, automation, and AI capabilities to improve client outcomes, strengthen success processes, and identify commercial opportunities.