What You’ll Bring to the Team:

As an Implementation Consultant, you will be the primary point of contact for our clients during the implementation phase of our software solutions. Your responsibilities will include leading client interactions, managing follow-up communications, ensuring timely completion of deliverables, and conducting engaging product demonstrations. This role requires exceptional communication skills, a client-centric mindset, and the ability to coordinate multiple tasks effectively in a fast-paced SaaS environment.

You Will:

• Client Interactions: Lead client meetings and discussions to understand their specific needs and expectations during the software implementation process.
• Follow-Up Communications: Send timely follow-up emails and updates to clients, ensuring clarity and addressing any questions or concerns.
• Deliverables Management: Track and manage the completion of deliverables, ensuring they align with client specifications and project timelines.
• Product Demonstrations: Conduct interactive product demonstrations, showcasing the features and functionalities of our software that are most relevant to the client’s business objectives.
• Documentation: Prepare and maintain thorough documentation related to client interactions, implementation plans, and progress reports to ensure transparency and accountability.
• Collaboration: Work closely with cross-functional teams, including Product Development, Support, and Sales, to ensure a seamless implementation experience and to address any technical issues that may arise.
• Feedback Loop: Gather and relay client feedback to internal teams to enhance our product offerings and implementation processes.
• Training: Assist in training clients on product features, best practices, and workflows to maximize their success and adoption of our solutions.

We’ll Be Successful Together if You Have:

• Bachelor’s degree in Business, Information Technology, or a related field.
• 1-3 years of experience in client-facing roles, preferably within the SaaS or technology sectors.
• Strong verbal and written communication skills with the ability to present technical information in an accessible manner.
• Experience leading client meetings and facilitating discussions effectively.
• Detail-oriented with strong organizational skills to manage multiple projects simultaneously.
• Proficient in project management tools and CRM software (e.g., Salesforce, Monday.com).
• Experience in conducting product demonstrations or client training is a plus.
• Strong problem-solving skills and a proactive, client-centric attitude.

What You’ll Bring to The Team:

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features. This role focuses on owning end-to-end implementation of AI systems within a product area — from prototyping to production — with a strong emphasis on reliability, iteration, and measurable impact. You will work closely with product and engineering teams to turn ambiguous problems into effective AI solutions, while contributing to best practices and raising the bar for AI development.

You Will:

End-to-End AI Feature Ownership

• Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
• Own the full lifecycle: prototyping → evaluation → production deployment → iteration
• Ensure solutions are reliable, performant, and aligned with product needs

AI System Implementation

• Build and optimize:
• Prompt pipelines for specific use cases
• Retrieval systems (embeddings, chunking, ranking)
• RAG-based workflows where needed
• Iterate on outputs to improve quality, accuracy, and consistency
• Design scalable and cost-efficient AI architectures for production workloads
• Select and evaluate models (hosted vs open-source) based on use case constraints
• Agent-Based Systems (AgentCore)
• Design and build agentic workflows capable of multi-step reasoning and decision-making
• Integrate agents with tools, APIs, and internal systems to perform real-world actions
• Implement planning, execution, and reflection loops for complex tasks
• Manage context, memory, and state across multi-step interactions
• Balance deterministic workflows vs. agent autonomy for reliability and control

Experimentation & Evaluation

• Run structured experiments to compare approaches (prompting, retrieval, models)
• Define and track key metrics for AI performance (quality, latency, cost)
• Debug and improve non-deterministic system behavior
• Build and maintain evaluation datasets and benchmarks
• Implement automated evaluation pipelines for continuous improvement

Collaboration & Contribution

• Drive technical direction and influence AI adoption across teams
• Partner with product managers and designers to scope AI features
• Contribute to shared patterns and reusable components
• Participate in code reviews and design discussions
• Support and mentor mid-level engineers where needed

AI Reliability, Safety & Governance

• Design guardrails to ensure safe and reliable AI behavior
• Mitigate hallucinations, prompt injection, and model misuse
• Ensure compliance with data privacy and enterprise requirements
• Implement monitoring and observability for AI systems in production
• Implement guardrails for agent actions (tool access control, execution boundaries)
• Prevent failure cascades in multi-step agent workflows

An Ideal Candidate Has: 

Core AI Skills

• Strong understanding of LLM capabilities and limitations
• Experience with prompt engineering and structured output design
• Hands-on experience with embeddings and vector search
• Familiarity with RAG architectures and when to apply them
• Experience designing agent-based architectures (AgentCore concepts)
• Understanding of tool use, planning strategies, and memory mechanisms in LLM systems

Engineering Skills

• 4+ years of related work experience 
• Solid backend/system design fundamentals
• Evaluate agent performance across multi-step tasks (task success rate, error propagation)
• Debug and optimize agent decision-making and tool selection behavior
• Experience building and deploying production-grade systems
• Ability to debug complex issues, including probabilistic outputs
• Comfort working with APIs, pipelines, and data flows

Product Thinking

• Ability to translate user needs into effective AI solutions
• Strong intuition for balancing quality, latency, and cost
• Focus on delivering measurable product impact

Collaboration

• Communicates clearly across engineering and product teams
• Contributes to team knowledge and shared practices

What Success Looks Like:

• Ships high-quality AI features that deliver clear user value
• Demonstrates strong ownership from idea to production
• Improves systems through structured iteration and experimentation
• Contributes to team-level best practices and reusable solutions

What You’ll Bring to The Team:

This is a hands-on, execution-focused marketing operations role at the center of Florence’s revenue operations engine on the GTM Strategy and Enablement team. You’ll sit at the intersection of marketing, sales, and revenue operations, owning the day-to-day execution inside our GTM tech stack, ensuring campaigns run, leads flow, pipeline grows, and reporting is accurate. You’ll be a trusted partner to marketing, BDR, and sales teams, ensuring the engine runs smoothly from first touch to closed-won.

You Will:

Marketing Process & Campaign Execution

• Execute within our GTM stack: HubSpot, Salesforce, Wordpress, Cvent, 6sense, Gong, Spekit, LinkedIn Sales Navigator, Clay, and other AI tools
• Own the day-to-day execution of marketing programs, including:
• List and Segment Building 
• Campaign setup and QA
• Webinar and event operational support
• HubSpot workflows and nurture programs
• Scoring models and MQL criteria
• Manage UTM taxonomy, attribution tracking, and campaign performance visibility
• Administer and optimize 6Sense segments and in-market account identification
• Create dynamic audience segments to support targeted outreach across personas and industries

Data, Reporting & Business Rhythm

• Own full-funnel reporting: MQL → SQL → SAL → Pipeline → ARR
• Build and maintain in-app dashboards and recurring performance reporting used by GTM leadership and company executives
• Ensure data accuracy and consistency across CRM and marketing platforms
• Deliver ad-hoc analysis that answers real business questions; not just dashboards 
• Partner with AEs, BDRs, marketing, and sales operations on full-funnel hygiene, deal progression, process clarity 
• Act as an independent auditor of pipeline health, becoming an expert in top-funnel conversions, pipeline velocity, and demand generation drivers 
• Analyze full-funnel KPIs like and pipeline velocity, surfacing actionable insights to GTM leaders proactively 
• Support annual planning, ICP definitions, segmentation and other ongoing strategic initiatives           
• Ensure clean and consistent handoffs across marketing → BDRs → sales →

Process Execution & Governance

• Maintain and enforce data governance standards around lifecycle stage adoption, field usage
• Deduplication, and enrichment workflows
• Create and maintain SOPs for GTM processes
• Drive adoption through end-user training on processes and reporting, often aligning with Sales Enablement
• Support rollout of new workflows and tools in partnership with GTM Systems

Partnering with GTM Systems

You will be a critical partner to the GTM Systems team, who own:

• System architecture and integrations
• Data model design and cross-platform data flow
• Vendor/tool evaluation and stack strategy
• Backend automation infrastructure

You’ll provide input, surface issues, and help operationalize changes and enhancements to the underlying architecture.

The Ideal Candidate Has:

• 5+ years in GTM, marketing, sales, or revenue operations in a high-growth B2B SaaS company
• Deep, hands-on experience in HubSpot (Marketing Hub + CRM)
• Strong working knowledge of Salesforce and cross-system processes
• Experience with tools like 6Sense, Gong, Clay, or similar platforms
• Proven ability to:
• Build workflows and manage campaigns
• Maintain clean pipeline and lead processes
• Translate data into actionable insights
• Strong understanding of:
• Lead lifecycle and funnel metrics
• Attribution and UTM strategy
• Pipeline health and forecasting inputs
• Highly detail-oriented with strong execution skills; you notice when something’s off
• Ability to manage multiple stakeholders and prioritize across competing requests

What You’ll Bring to the Team:

We are seeking a Site Reliability Engineer (SRE) to join one of our Scrum teams and help ensure the reliability, scalability, and performance of the Florence™ platform. AI-driven tooling and automation are a cornerstone of how we build, operate, and scale our systems.

In this role, you will work closely with product engineers while actively leveraging AI to improve observability, incident response, automation, and overall platform reliability. Coding assignments in this role will require working with AI-assisted development workflows as a core part of how solutions are designed and delivered.

You Will:

• Be an embedded member of a Scrum team, participating in planning, refinement, reviews, and retrospectives
• Use AI-powered tools to enhance system reliability, operational efficiency, and developer productivity
• Design, build, and operate reliable, scalable cloud infrastructure supporting platform and product services
• Apply AI-assisted analysis to monitoring, alerting, and observability data to detect, predict, and prevent incidents
• Define and maintain SLOs, SLIs, and error budgets to guide reliability decisions
  Collaborate with software engineers to embed reliability and AI-driven automation into the software development lifecycle
• Lead and participate in incident response, root cause analysis, and postmortems, leveraging AI insights where appropriate
• Automate operational tasks and reduce toil through AI-enabled and traditional automation approaches
• Contribute to disaster recovery planning, testing, and operational readiness
• Produce and maintain documentation such as runbooks, operational guides, and system diagrams
• Contribute code as a secondary responsibility, with coding assignments focused on building reliability tooling, automation, and integrations using AI-assisted development practices
  
  

An Ideal Candidate Is / Has:

• Passionate about building reliable, scalable systems using modern, AI-enabled approaches
• Strong understanding of cloud-native and distributed system architectures
• Experience applying SRE principles in a production environment
• Hands-on experience with cloud platforms (AWS preferred)
• Experience using AI-assisted tools for coding, debugging, automation, or operational analysis
• Strong background in Linux, networking, and system operations
• Experience with infrastructure-as-code and automation tools (e.g., Terraform, CI/CD pipelines)
• Familiarity with modern observability practices (metrics, logs, tracing), including AI-enhanced analysis
• Comfortable working as part of an agile, cross-functional Scrum team
• Strong problem-solving, communication, and collaboration skills
• 4+ years of experience in SRE, DevOps, or similar roles
• Experience supporting production systems at scale

What You’ll Bring to The Team:

Florence is modernizing how clinical trials are run by connecting sites, sponsors, and CROs on a single workflow platform. We are looking for a hands-on Product Marketing Manager who can help us build the foundational messaging, sales collateral, and customer insights needed to support our growing go-to-market teams.

This role is ideal for a marketer who loves switching between research, writing, and content creation. You will turn product capabilities into simple and compelling stories, create the materials sales needs to win deals, and conduct customer and competitive research that strengthens our positioning.

This is an execution-oriented role with high visibility and impact. You will work closely with Product, Sales, and Demand Gen while helping rebuild the core PMM function at Florence.

You Will:

Messaging and Positioning Support

• Develop foundational product messaging and value propositions for key personas and segments.
• Translate product features into clear, customer-focused language.
• Maintain and update messaging documents and product sheets as our platform evolves.
  
  

Sales Enablement Materials

• Create and manage core collateral: pitch decks, one-pagers, product briefs, battle cards, competitive snapshots, FAQs.
• Work directly with sales reps to understand what is working and what gaps exist in the field.
• Keep our sales asset library organized and up to date.
  
  

Competitive and Market Research

• Conduct research on competitors’ messaging, pricing signals, product updates, and campaign activity.
• Build simplified competitive comparison views and talking points the sales team can use.
• Summarize insights from industry news, analyst mentions, and conferences.
  
  

Customer and Account-Based Insights

• Interview customers and prospects to extract proof points, use cases, and unmet needs.
• Support account-level research for strategic deals (key personas, company initiatives, tech stack clues).
• Summarize insights in concise briefs for Sales and Marketing.
  
  

Product Launch Support

• Assist with messaging, product launch materials, and internal communication for product or feature releases.
• Partner with cross-functional team members to collect customer quotes, case studies, use cases, and benefits for launch content.
  
  

AI-Enabled Content and Research Workflows

• Use AI tools to synthesize call transcripts, summarize research, build first drafts of content, and classify assets.
• Support the PMM and content teams with quick-turn work using AI acceleration.
  
  

An Ideal Candidate Has:

• Clear, consistent messaging used across sales decks and marketing content.
• Sales has the right competitive insights and materials at the right time.
• Product launch assets are high quality and delivered on time.
• Competitive and customer research is synthesized into simple, useful deliverables.
• Faster deal cycles and improved sales conversations because of stronger collateral and positioning inputs. 
• 3–5 years in B2B SaaS marketing, product marketing sales enablement. Ideal: Enterprise focus, platform and multi-product experience in regulated or complex industries.
• Bonus: background in healthcare technology, pharmaceutical industry, clinical research.
• Strong writer and communicator who can simplify technical topics.
• Comfort creating decks, one-pagers, and competitive briefs with minimal guidance.
• Experience conducting research and turning findings into insights.
• Hands-on, detail-oriented, and energized by execution.
• Familiarity with AI tools for research and content creation (or willingness to learn quickly).

Why This Role: 

You will directly shape how prospects understand Florence and how Sales tells our story. You’ll learn fast, partner cross-functionally, and help build foundational PMM systems at a company in a meaningful growth phase. This is the right role for someone who wants to have strategic impact, ownership, and cross-functional visibility.

What You’ll Bring to the Team:

We are seeking a Strategic Engagement Director to drive value delivery and strategic alignment across a portfolio of high-impact clinical research accounts. This mid-to-senior level role blends program execution, customer consulting, and internal alignment to ensure Florence’s offerings meet evolving sponsor, CRO, and site needs. Reporting to the VP of Professional Services, you will lead solutioning efforts, guide implementation success, and surface strategic opportunities within key engagements.

Your impact will be deep within assigned accounts, where you will bridge the gap between customer expectations and Florence's roadmap. You’ll translate complex customer requirements into scalable solutions using Florence tools, triage requests against business priorities, and coordinate internal stakeholders to ensure long-term success.

You Will:

Strategic Alignment & Engagement Leadership

• Serve as the primary engagement lead for assigned projects across strategic accounts, ensuring clinical partners derive measurable value from Florence tools. 
• Conduct stakeholder discovery sessions and interviews to gather requirements, assess readiness, and co-design implementation roadmaps.
• Collaborate with product, services, and customer success teams to recommend scalable solutions tailored to client environments, regulatory needs, and research priorities.
  
  

Program Leadership

• Manage end-to-end strategic program execution (e.g. custom services) across customer portfolios, ensuring alignment to KPIs, timelines, and quality standards. Inclusive of project plans, customer communications, internal team management and collaboration, and delivery of defined service solutions. 
• Support executive governance meetings, quarterly business reviews (QBRs) and facilitate strategy workshops to ensure mutual value realization. Facilitate customer conversations to define the value of solutions.
• Apply deep knowledge of Florence’s platform, customer workflows, and industry context to develop tailored, compliant workflows that address clinical research pain points.
  
  

Cross-Functional Enablement

• Partner with Product, Engineering, Customer Success, and Commercial teams to translate customer needs into actionable internal plans.
• Mentor Strategic Engagement Managers or Analysts supporting execution and customer insights, and manage project teams to execute to defined deliverables and solutions. 
• Drive internal collaboration to close feedback loops and continuously optimize the delivery and support model for strategic accounts.
• Develop strong, trust-based relationships with client stakeholders at multiple levels, from site operations to C-suite.
• Identify whitespace within existing accounts, develop business cases for expansion, and partner with sales and customer success to drive growth. 
• Support account executives in building multi-year customer strategies and transformation plans.
  
  

Customer Growth & Opportunity Identification

• Identify whitespace within accounts and partner with Sales/Customer Success to surface new business cases and multi-year partnership expansion plans.
• Develop client transformation roadmaps to expand Florence usage and deepen partner engagement.
  
  

Metrics, Reporting & Communication

• Monitor adoption, satisfaction, and engagement metrics across assigned programs.
• Deliver tailored reports and dashboards to both customer stakeholders and Florence leadership, summarizing progress, risks, and next-step recommendations.
• Facilitate QBRs, governance meetings, and strategic planning sessions.
  
  

 An Ideal Candidate Has:

• 5–8 years of experience in program management, customer engagement, or consulting within a SaaS, healthcare, or clinical research environment.
• Proven ability to navigate complex enterprise programs, evaluate client requirements, and design scalable implementation plans.
• Demonstrated success building relationships with sponsors, CROs, and research sites, including familiarity with operational workflows and regulatory frameworks.
• Strong consulting skills with the ability to translate business needs into technology-enabled solutions.
• Proficiency with tools such as Salesforce, Gainsight, Asana, Smartsheet, and reporting platforms.
• Excellent communication and presentation skills with the ability to influence both clients and internal teams.
  
  

We’ll Be Extra Excited If You Have:

• Background in clinical trials, digital health, or healthcare IT.
• Experience managing cross-functional teams or mentoring team members.
• Knowledge of Florence’s eBinders, eConsent, or eHub platforms (or similar products).