You will manage the full sales cycle from prospecting to closing, focusing on acquiring new enterprise customers and expanding relationships within the financial services sector. You will collaborate with cross-functional teams to deliver AI-powered solutions and act as a strategic advisor to senior decision-makers.
Aveni
24 Remote Job Openings at Aveni
You will lead the technical direction of a product squad, owning architectural decisions and engineering quality while driving the development of LLM-powered features. Additionally, you will mentor engineers and ensure all deliverables are compliant-by-design for the financial services sector.
You will architect, fine-tune, and deploy advanced language models and NLP systems within a production-ready, highly regulated financial environment. Additionally, you will lead data strategy, implement MLOps pipelines, and mentor engineering team members to deliver scalable AI solutions.
You will design and implement scalable Python services and AI-driven workflows within a serverless AWS architecture. Additionally, you will build guardrails and policy enforcement mechanisms to ensure AI agents operate safely and compliantly in financial environments.
You will act as the bridge between product and platform teams, coordinating work across multiple engineering domains to ensure clear prioritization and delivery. This involves managing the platform roadmap, running requirements workshops, and improving operational efficiency through AI tooling and process optimization.
You will be responsible for designing and implementing robust event-driven microservices and scalable cloud-native systems on AWS. Additionally, you will develop responsive React front-ends and integrate LLM-powered capabilities into real-world financial workflows.
You will own and grow a portfolio of Tier 1 Financial Services accounts by developing strategic growth plans and building trusted executive relationships. Additionally, you will partner with internal teams to drive customer adoption, manage renewals, and represent the voice of the customer to shape product strategy.
You will lead and grow an engineering team by managing individual performance, fostering a culture of high autonomy, and ensuring the delivery of high-quality software. You will also partner with product teams to align on roadmaps and improve developer tooling while maintaining a hands-on technical understanding.
You will own the end-to-end roadmap for the Aveni Assist platform, driving its evolution through continuous discovery and strategic prioritization. You will collaborate across engineering, design, and commercial teams to deliver high-value features that improve adviser workflows and platform adoption.
You will lead and scale the Customer Success team, establishing an operating model that ensures customers achieve measurable value from Aveni's AI platform. You will also act as the executive voice of the customer, driving retention and growth while collaborating across departments to deliver a seamless end-to-end experience.
The Head of Implementation & Enablement will lead the team responsible for the end-to-end customer onboarding journey from contract signature to live deployment. This role involves managing resource capacity, designing scalable implementation playbooks, and driving cross-functional improvements to increase speed and transparency.
You will own the product roadmaps for Agent Approve and Detect, driving them from discovery through to commercial readiness. You will collaborate with cross-functional teams to translate complex regulatory and customer problems into shippable product outcomes.
Lead the strategy, roadmap, and delivery of the Aveni Assist AI platform for financial advice firms. Focus on scaling the product through continuous discovery, enhancing customer workflows, and collaborating with engineering and design teams.
Lead the strategy, roadmap, and delivery of the Aveni Assist AI platform for financial advice firms. Focus on scaling the product through continuous discovery, improving customer workflows, and collaborating with engineering and design teams.
Own and grow a portfolio of Tier 1 Financial Services accounts by developing strategic growth plans and executive relationships. Drive customer adoption, lead commercial renewals, and represent the voice of the customer to shape product direction.
Define and execute the enterprise partnership strategy to accelerate business growth through high-value collaborations. Develop joint go-to-market propositions and commercial models to deliver multi-million-pound revenue targets.
Own the end-to-end product roadmaps for Agent Approve and Detect, focusing on AI assurance and compliance for financial services. Lead continuous discovery and collaborate with engineering and design to translate customer problems into shippable product outcomes.
Act as the primary bridge between product and platform teams to coordinate, prioritize, and define technical requirements for shared foundations. Manage the platform roadmap, sprint planning, and intake processes across multiple engineering domains to ensure efficient delivery.
Develop, fine-tune, and deploy production-scale LLMs and NLP pipelines for financial services. Lead data strategy, implement MLOps best practices, and mentor engineers to build intelligent agentic systems.
Lead the strategy and engagement for Tier 1 financial institutions to drive commercial growth and AI adoption. Act as a trusted advisor to C-suite stakeholders while influencing product direction and mentoring commercial teams.
Design and implement robust event-driven microservices and APIs to scale products built on FinLLM. Develop modern React front-ends and integrate LLM-powered capabilities into real-world financial workflows.
Lead the technical direction and architectural decisions for a product squad, focusing on the delivery of production-grade AI and full-stack features. Mentor engineers and drive the adoption of AI coding tools across the entire software development lifecycle.
Lead and grow engineering teams by owning performance, development, and team culture. Partner with Product on roadmap planning and ensure high-quality delivery through the implementation of efficient workflows and AI-assisted engineering norms.
Design and implement scalable Python services and AI-driven workflows within a serverless AWS architecture. Develop safety controls, policy enforcement, and behavioral monitoring for AI agents in regulated financial environments.