Jobs at InvestorFlow

Contribute to enterprise Infrastructure as Code using Terraform, build CI/CD pipelines, manage multi-cloud infrastructure, and deploy containerized applications with Docker and Kubernetes. Implement monitoring, logging, alerting, security scanning, compliance, vulnerability management, and advanced deployment strategies. Participate in incident response, architectural reviews, post-mortems, automation, and cross-team process improvements.

Oversee multi-entity accounting, consolidation, month-end close, GAAP financial reporting, cash forecasting, and non-people operating expense budgeting. Prepare consolidated financial statements, variance analyses, management reports, and audit support. Manage SaaS subscription inventory, renewals, approvals, and spend optimization. Collaborate with the Controller, CFO, budget owners, and international teams while investigating financial discrepancies and maintaining accurate supporting documentation.

Contribute to enterprise Infrastructure as Code using Terraform, build CI/CD pipelines, manage multi-cloud infrastructure, and deploy containerized applications with Docker and Kubernetes. Implement monitoring, logging, security scanning, compliance, vulnerability management, and advanced deployment strategies. Participate in architectural reviews, incident response, post-mortems, automation initiatives, and cross-team DevOps improvements.

Supports global accounting for U.S. and UK entities, focusing on accounts payable, employee expenses, corporate cards, vendor records, reconciliations, journal entries, prepaid expenses, fixed assets, and month-end close activities. The role also coordinates payments, resolves coding and compliance issues, supports audits, and collaborates with employees, vendors, and finance teams across countries and time zones.

Leads DevOps and SRE strategy, roadmap, team development, cloud platform reliability, CI/CD, infrastructure as code, security, identity, observability, incident response, disaster recovery, and cost management. Owns Azure infrastructure across environments while supporting AWS and Snowflake. Establishes automation-first standards, advances AI-assisted engineering operations, governs architecture and compliance, manages vendors, and serves as an escalation point for major incidents and client environment changes.

Designs and maintains scalable RESTful APIs and responsive React interfaces for enterprise financial applications. Works with SQL Server, MongoDB, external APIs, CI/CD pipelines, infrastructure-as-code, and cloud platforms. Responsibilities include secure coding, performance optimization, testing, code reviews, deployment automation, and collaboration with Product and engineering teams. The role may also use AI development tools and integrate AI services.

Own the full data lifecycle across client engagements: extract, cleanse, deduplicate, and migrate data from relational databases and CRMs into Azure and Salesforce; design ETL/transformation pipelines, manage Talend integrations, contribute to Snowflake workloads, build reusable ETL templates, recommend integration tooling, troubleshoot/optimize integrations, and mentor junior engineers.

The Data Lead will manage data lifecycle tasks including data extraction, transformation, and integration using platforms like Salesforce and Azure, while also overseeing team assignments and tool evaluations.

The Solution Architect leads the SA team, drives architectural standards, manages client relationships, and oversees pre-sales and delivery of technical solutions while mentoring team members.

The Technical Support Analyst will assist clients by resolving technical issues, managing incidents, creating documentation, and collaborating with other teams to enhance customer experience.

Lead and build InvestorFlow's AI Consulting Practice: define strategy and offerings, hire and mentor consultants, run flagship engagements, guide AI readiness and implementation, partner with Sales to originate deals, and develop reusable IP, thought leadership, and client relationships across private markets.

Lead and execute AI consulting engagements: assess AI readiness, design prioritized use cases and roadmaps, configure and deploy LLM/RAG/agent solutions integrated with CRM and enterprise systems, manage workstreams, validate outputs, run workshops, produce deliverables, and help scale the AI practice through methodology and pre-sales support.

Generate and qualify outbound and inbound leads across private equity, real assets, and private credit. Research target accounts, craft personalized outreach to senior stakeholders, book discovery meetings, maintain Salesforce pipeline data, and collaborate with Account Executives and Marketing to meet qualified meeting targets.