WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

Senior Software Developer

You are the engineer who can take a hard problem from data layer to UI to model gateway and back without dropping the thread. Full-stack is not a compromise here — it's the job. LLM integration is part of the everyday work, not a side project. You'll write NestJS services that publish events through a well-defined SDK, consume those events into projections, expose them through APIs, build the console UI that makes them useful, and integrate LLMs as governed components inside workflows — with prompt versioning, evals, observability, and cost discipline. The codebase is strict TypeScript, opinionated, and well-documented. Every exported symbol has a JSDoc block. Every architectural decision has an ADR. Every PR ships with docs. You'll match that bar from day one. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 7+ years of production TypeScript and Node. You write strict TypeScript by reflex; you don't reach for any.
• Production experience with NestJS or a comparable Node framework at the level where you understand the request lifecycle, dependency injection, and the trade-offs.
• Production experience with Next.js (App Router preferred) and modern React: server components, streaming, client/server boundary discipline.
• LLM-powered features shipped to production. You've dealt with prompt drift, eval design, hallucination handling, and the cost of getting any of those wrong.
• Postgres at a working level: migrations, index design, query plan analysis, trade-off reasoning.
• Event-driven architecture experience: pub/sub, idempotent consumers, eventual consistency, ordering, retries, dead-letter behavior.
• Strong testing instincts: unit, integration, end-to-end. You don't ship without tests and you care about the difference between tests that pass and tests that matter.

Nice to have

• Drizzle ORM, Temporal, or Redpanda/Kafka in production.
• OpenTelemetry beyond surface-level — sampling strategy, semantic conventions, custom instrumentation.
• Design system contribution — component libraries, accessibility patterns, design token discipline.
• Agent frameworks (LangGraph, custom orchestration), eval tooling (Braintrust, LangSmith), or prompt versioning systems.
• Open-source contributions to the TS/Node/Next ecosystem.

What you’ll be doing in this role:

• Backend services in NestJS: API design, request validation with Zod, event publishing through the canonical SDK, projection consumers, RLS-aware database access. You write the service, the tests, and the docs.
• The Next.js console: App Router, server and client components, the in-house design system, real-time UI patterns, the widget framework. You make complex platform state feel direct and obvious to operators.
• LLM integration: agent orchestration inside the workflow runtime, prompt engineering with version control, evaluation harnesses, model gateway usage, structured output validation, retry and fallback logic. You treat model calls as production code, not prompts in a notebook.
• Observability: OpenTelemetry traces, structured logs, meaningful metrics on every meaningful surface. If a customer reports a problem, your code should make finding it trivial.
• Engineering culture: you set the bar for engineers who join after you. The next hires learn from your PRs.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.

We are constantly striving to make the most reliable and scalable systems possible to ensure that our services are available to our travelers when they need it most. With our exponential growth, we have many exciting challenges ahead and we’re looking for a passionate Site Reliability Engineer to join our team in Dallas, TX or Austin, TX. As an SRE you will design and develop tooling, automation and infrastructure services that power the Navan services, used by thousands of travelers on a daily basis.  You will work closely with development teams, release and productivity teams and security teams to identify customer needs and build innovative solutions to solve them. 

You will work across a vast array of systems and technologies, aiming to build an autonomous, monitored, fault-tolerant infrastructure that is optimized for both simplicity and uptime. You will collaborate with the backend and frontend engineering teams to ensure that product solutions are scalable, efficient, and reliable. You will design infrastructure to support our massive growth and work with the team to maintain the highest level of service.

What You'll Do:

• Building a fast moving, high growth service. Navan is revolutionizing travel and expense services for the enterprise, and the product is evolving quickly. You are comfortable in a startup environment, enjoy seeing the product take shape, and have strong ownership of the success of your services.
• Designing, implementing and operating cloud infrastructure. You’re a fit for us if you think in terms of infrastructure as code, deployment pipelines, and building the guardrails to make going fast also going safely.
• Identifying reliability anti-patterns and solving them systemically. You dive deep into the data to evaluate the health of your systems, and you use it to improve visibility and reliability across the fleet of services.
• Finding and automating the toil out of our processes. You’d prefer to automate it entirely, or build a tool to empower your users rather than be the gatekeeper to the tool.
• Leveraging AI tools and platforms in your daily work to achieve autonomous operations, reduce toil, and improve system observability.
• Defining and driving the adoption of system reliability standards, including formalizing SLO/SLI frameworks, observability standards, and blameless post-mortem practices across multiple engineering teams.
• Driving the adoption of AI-assisted developer tools and platforms to increase engineering productivity, enforce code quality standards, and enable real-time architectural validation.

What We’re Looking For:

• 5+ years of progressive experience as a Senior SRE or DevOps Lead (or equivalent role)
• 2+ years of experience in working on a production, 24x7 product environment
• Passionate about solving problems and learning new tools and technologies
• Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems
• Thrive in a fast-paced environment 
• Demonstrated experience mentoring and leading junior and mid-level engineers, and acting as a technical owner for cross-functional infrastructure projects.
• Operate with a strong sense of ownership demonstrated through shipping production-quality code and infrastructure equipped with testing, monitoring and documentation
• Hands-on operational experience with Java based applications and services including JVM profiling and performance tuning (python, Node.js and Go are a plus)
• Hands-on experience building and operating distributed systems in a public cloud environment (preferably AWS), using CI/CD to deploy, manage and operate production systems, focusing on tooling and automation using tools such as maven and Jenkins.
• Hands-on experience with microservice architecture and related reliability and resiliency patterns such as throttling, queueing, and retries
• Hands-on experience with writing Infrastructure as Code in Terraform or Cloudformation or similar tools
• A passion for automating away everything, using scripting languages such as python, bash groovy (we prefer lazy engineers)
• Built, using, and automating monitoring systems such as NewRelic, DataDog, SignalFX, Kibana,
• Hands-on experience deploying, operating, and monitoring production-grade AI/ML microservices (e.g., RAG pipelines, agentic systems) on cloud platforms like AWS Fargate/ECS.
• Experience leveraging AI/LLM platforms (e.g., Gemini, Braintrust) and managing their secrets and infrastructure using Infrastructure as Code (Terraform) and AWS SSM.
• Demonstrated ability to integrate AI-specific telemetry and advanced observability practices to enable predictive insights and systemic root-cause analysis.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat! 

Solution Architect

You are the architectural conscience of the platform and the technical translator at the front of every client engagement. Half your week is inside the product — reviewing ADRs, holding integration patterns coherent, and partnering with the data architect and senior dev to keep the architecture honest. The other half is in front of clients — taking real operational complexity and turning it into platform configurations the system can actually execute. You are not a slide architect. You write decisions down, defend them with reasons, and change them when the reasons change. This role only works if you genuinely enjoy both sides. The leverage is in the loop between them — what we learn in deployments shapes the platform, and what the platform enforces shapes how we deploy. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 10+ years of software engineering experience, with at least 4 explicitly accountable for system architecture — Principal Engineer, Staff Engineer, Solution Architect, or equivalent.
• Production experience with multi-tenant SaaS at meaningful scale. You have personally owned tenant isolation decisions and understand the difference between "we have a tenant_id column" and a defensible isolation model.
• Deep experience with event-driven or event-sourced systems in production. You have opinions about idempotency, schema evolution, and the cost of getting either wrong.
• Working fluency in the modern TypeScript/Node ecosystem (NestJS, Next.js, Drizzle, Zod, Postgres, Kafka/Redpanda, Temporal or comparable). You can read the codebase, make changes when it matters, and produce durable architecture artifacts — ADRs, RFCs, decision documents — that someone six months from now can act on.
• Direct experience leading rooms of senior client or executive stakeholders — consulting, enterprise customer engineering, field architecture, or technical pre-sales. You can translate "the engagement is slipping" into a technical control loop and back again.

Nice to have: 

• Background in professional services, agency operations, or management consulting — you understand engagement economics from the inside.
• Observability experience (OpenTelemetry, distributed tracing) at a depth that lets you design for it, not just consume it.
• Architecture decisions on AI-native or LLM-integrated systems — model gateways, agent orchestration, prompt versioning, or evaluation pipelines.
• Experience in compliance-conscious environments (SOC 2, HIPAA, GDPR) where audit trails and data residency are first-class concerns.
• Public writing, conference talks, or open-source contributions that show how you think.

What you’ll be doing in this role:

• Own the architectural coherence of the platform, ADR backlog, architecture reviews, system shape diagrams, the canonical event envelope, the tenant isolation model. You hold the line on invariants and write down why.
• Define integration patterns for every external system, identity providers, CRMs, project tools, communication systems, AI providers. You decide how we connect, not just whether.
• Build and own client deployment patterns, repeatable playbooks from "first connector" to "first signal" to "first governed action." You author them, run the first few personally, and abstract them into reusable configurations as you go.
• Lead pre-deployment architecture sessions with client technical teams, translating their identity infrastructure, data model, permissions, and compliance posture into a deployment plan the build team can execute.
• Carry the technical narrative externally. You can sit across from a client CTO, walk them through the architecture, defend it under pressure, and adjust where the pressure is legitimate.
• Mentor the founding engineering team on architectural reasoning, not by lecturing, but by showing your work in ADRs, reviews, and the way you make trade-offs visible.

You should not apply if:

• You want to architect from a whiteboard and hand off to others. We write code, we read code, and we ship.
• Client conversations drain you. Half this job is in front of people who don't speak fluent engineering.
• You need consensus before deciding. We move with strong opinions, loosely held — emphasis on strong.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

Summer Internship – IT & Data Analytics Intern (AI/ML Focus) 

Location:                      Irving, TX (On-Site) 
Department:                 Meriton IT & Data Analytics 
Internship Type:          Summer Internship (Full‑Time) 
Reports To:                  Hiring Manager – Meriton Technology & Analytics 

 If you’re looking to make an impact, we’re glad you’re here. At Meriton, you’ll join a team that believes in big ideas, doing great work, and building careers that matter—every step of the way. 

About the Role 

Meriton is seeking a highly motivated IT & Data Analytics Intern with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. This role is ideal for students who enjoy problem‑solving, exploring emerging technologies, and applying analytics to drive insights and operational excellence. 

You’ll work closely with the Meriton technology team to support internal analytics, automation projects, and AI‑driven initiatives that enhance business decision‑making and improve efficiency. 

Key Responsibilities 

AI & Data Analytics 

• Assist in building and evaluating machine learning models, including data preprocessing, feature engineering, and model validation. 

• Use tools such as Cursor, Claude Code, AI Foundry, and similar AI development platforms to prototype automation and analytics solutions. 

• Conduct exploratory data analysis (EDA) on structured and unstructured datasets. 

• Support the creation of dashboards, reports, and visualizations for business stakeholders. 

• Research and recommend AI use cases that align with team strategy and business needs. 

IT & Technical Support 

• Collaborate with IT partners to streamline workflows through scripts, automation, and analytics. 

• Troubleshoot data, system, or integration issues as needed. 

• Document technical processes, workflows, and best practices. 

AI Product & Tooling Initiatives 

• Experiment with generative AI tools to assist with:  

• Query generation 

• Code generation & refactoring 

• Data pipeline development 

• Business insights summarization 

• Workflow automation 

• Partner with team members to test, evaluate, and implement AI‑powered solutions. 

Required Qualifications 

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related fields. 

• Foundational coursework or hands‑on experience in:  

• Artificial Intelligence / Machine Learning 

• Data Science methodologies 

• Python, R, SQL, or similar languages 

• Comfortable working with modern AI coding tools such as:  

• Cursor (AI coding environment) 

• Claude Code / Claude AI 

• AI Foundry or other LLM ops platforms 

• Strong analytical thinking, problem‑solving abilities, and attention to detail. 

• Eagerness to learn, experiment, and adopt emerging technologies. 

Preferred Qualifications 

• Experience with:  

• Jupyter Notebooks 

• Pandas, NumPy, Scikit‑Learn, PyTorch or TensorFlow 

• Git / version control 

• Power BI or Tableau 

• Familiarity with API calls, cloud platforms, or DevOps automation. 

• Prior hands‑on project work involving AI agents, ML modeling, or generative AI use cases. 

Meriton is an equal opportunity employer

Title: Senior Application Security Engineer

Location: Austin, TX / Dallas, TX / San Jose, CA / Morristown, NJ (hybrid)

Reports To: Sr. Manager, Cybersecurity

About Hippo

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role

The Senior Application Security Engineer is a senior individual contributor responsible for driving application security outcomes across Hippo’s engineering organization. This role serves as a trusted subject matter expert in application security, providing deep technical guidance and influencing secure design decisions across multiple teams, products, and services.

This position is application-security–first, with intentional overlap into cloud and platform security where application code, identity, CI/CD pipelines, and infrastructure intersect. While the role does not own infrastructure, security programs, or formal departmental priorities, it is accountable for identifying application-centric risks and guiding high-impact security decisions through expertise, partnership, and advisory influence.

Operating with significant autonomy, the Senior Application Security Engineer independently owns complex and ambiguous security challenges end-to-end, ensuring outcomes align with business objectives and risk tolerance. This role emphasizes technical leadership, cross-functional collaboration, and mentorship rather than people management.

About You

You are a seasoned application security professional with deep technical expertise and strong judgment, trusted to guide complex security decisions in high-impact environments. You think adversarially, understand modern application architectures, and can clearly articulate risk tradeoffs to engineering, product, and security leadership.

You are comfortable operating independently in ambiguous situations, influencing outcomes through credibility and collaboration rather than formal authority. You communicate clearly, mentor others naturally, and help elevate application security maturity across teams by embedding secure design principles into everyday engineering practices.

What You'll Do:

• Serve as a senior subject matter expert in application security, providing authoritative guidance on secure design, authentication, identity flows, API security, and cloud-native application risks.

• Act as a trusted security advisor during architecture reviews, design discussions, and risk assessments across multiple teams and services.

• Identify, assess, and clearly communicate application-centric security risks across application code, CI/CD pipelines, identity systems, and cloud environments.

• Independently own and drive resolution of complex and ambiguous application security challenges with broad organizational impact.

• Apply threat modeling, attack-path analysis, and adversarial thinking to inform defensive improvements and strengthen application resilience.

• Contribute technically to broader security programs by shaping standards, best practices, secure patterns, and technical guidance.

• Support security incidents and targeted threat-hunting efforts by providing application security expertise, root-cause analysis, and remediation guidance.

• Design, improve, and help operationalize automated security tooling and pipelines (e.g., SAST, DAST, SCA, secrets detection).

• Mentor engineers and security partners across teams, acting as a force multiplier to improve secure design and decision-making at scale.

• Communicate risks, recommendations, and standards clearly to senior engineers and security leadership to influence technical direction.

Must Haves:

• 6+ years of experience in application security or product security roles.

• Demonstrated impact improving application security outcomes across multiple teams, systems, or business domains.

• Deep experience securing web applications, APIs, distributed systems, WAFs, and customer identity platforms.

• Strong understanding of authentication and identity protocols (OAuth2, OIDC, SAML, JWT, MFA).

• Proven ability to review system designs, data flows, and identify architectural security risks.

• Solid understanding of cloud-native application architectures and CI/CD pipelines from an application risk perspective.

• Experience designing or maintaining automated security tooling and pipelines (SAST, DAST, SCA, secrets detection).

• Proficiency in one or more modern programming languages.

Nice to Have:

• Experience threat modeling or assessing AI-powered features and LLM integrations.

• Application-focused penetration testing or adversarial security testing experience.

• Familiarity with Kubernetes, container security, and infrastructure-as-code as they relate to application security.

• Experience operating in regulated environments.

• Relevant security certifications (e.g., OSWE, GWAPT, CSSLP).

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

The Morristown, NJ and San Francisco Bay Area base pay range for this role is $151,000.00 - $226,250.00. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Title: Senior Application Security Engineer

Location: Austin, TX / Dallas, TX / San Jose, CA / Morristown, NJ (hybrid)

Reports To: Sr. Manager, Cybersecurity

About Hippo

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role

The Senior Application Security Engineer is a senior individual contributor responsible for driving application security outcomes across Hippo’s engineering organization. This role serves as a trusted subject matter expert in application security, providing deep technical guidance and influencing secure design decisions across multiple teams, products, and services.

This position is application-security–first, with intentional overlap into cloud and platform security where application code, identity, CI/CD pipelines, and infrastructure intersect. While the role does not own infrastructure, security programs, or formal departmental priorities, it is accountable for identifying application-centric risks and guiding high-impact security decisions through expertise, partnership, and advisory influence.

Operating with significant autonomy, the Senior Application Security Engineer independently owns complex and ambiguous security challenges end-to-end, ensuring outcomes align with business objectives and risk tolerance. This role emphasizes technical leadership, cross-functional collaboration, and mentorship rather than people management.

About You

You are a seasoned application security professional with deep technical expertise and strong judgment, trusted to guide complex security decisions in high-impact environments. You think adversarially, understand modern application architectures, and can clearly articulate risk tradeoffs to engineering, product, and security leadership.

You are comfortable operating independently in ambiguous situations, influencing outcomes through credibility and collaboration rather than formal authority. You communicate clearly, mentor others naturally, and help elevate application security maturity across teams by embedding secure design principles into everyday engineering practices.

What You'll Do:

• Serve as a senior subject matter expert in application security, providing authoritative guidance on secure design, authentication, identity flows, API security, and cloud-native application risks.

• Act as a trusted security advisor during architecture reviews, design discussions, and risk assessments across multiple teams and services.

• Identify, assess, and clearly communicate application-centric security risks across application code, CI/CD pipelines, identity systems, and cloud environments.

• Independently own and drive resolution of complex and ambiguous application security challenges with broad organizational impact.

• Apply threat modeling, attack-path analysis, and adversarial thinking to inform defensive improvements and strengthen application resilience.

• Contribute technically to broader security programs by shaping standards, best practices, secure patterns, and technical guidance.

• Support security incidents and targeted threat-hunting efforts by providing application security expertise, root-cause analysis, and remediation guidance.

• Design, improve, and help operationalize automated security tooling and pipelines (e.g., SAST, DAST, SCA, secrets detection).

• Mentor engineers and security partners across teams, acting as a force multiplier to improve secure design and decision-making at scale.

• Communicate risks, recommendations, and standards clearly to senior engineers and security leadership to influence technical direction.

Must Haves:

• 6+ years of experience in application security or product security roles.

• Strong understanding of Customer Identity Access Management (CIAM), authentication and identity protocols. (OAuth2, OIDC, SAML, JWT, MFA).

• Demonstrated impact improving application security outcomes across multiple teams, systems, or business domains.

• Deep experience securing web applications, APIs, distributed systems, WAFs, and customer identity platforms.

• Proven ability to review system designs, data flows, and identify architectural security risks.

• Solid understanding of cloud-native application architectures and CI/CD pipelines from an application risk perspective.

• Experience designing or maintaining automated security tooling and pipelines (SAST, DAST, SCA, secrets detection).

• Proficiency in one or more modern programming languages.

Nice to Have:

• Experience threat modeling or assessing AI-powered features and LLM integrations.

• Application-focused penetration testing or adversarial security testing experience.

• Familiarity with Kubernetes, container security, and infrastructure-as-code as they relate to application security.

• Experience operating in regulated environments.

• Relevant security certifications (e.g., OSWE, GWAPT, CSSLP).

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

The Morristown, NJ and San Francisco Bay Area base pay range for this role is $151,000.00 - $226,250.00. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

The Role

This role runs Farther's advisor growth systems day-to-day: owns the content library lifecycle, authors and enforces the operating processes, drives projects across stakeholders, and keeps the machine moving and improving across hundreds of advisors. You'll be measured on operational excellence and marketing results at scale — contributing meaningfully to strategy and direction set by Advisor Marketing and cross-functional leadership.

This is for someone who is energized by content systems, process design, and project delivery — and who knows that in a fast-scaling firm, what gets shipped is determined by who runs the operating model.

Your Impact

• Own the lifecycle (intake, editorial review, publication, retirement) of marketing content and component library. Keep the library fresh as ICPs, brand, and services evolve.
• Author and operate the workflows that make advisor marketing happen at scale: compliance review, content production, HubSpot day-to-day operations for advisor marketing, advisor request intake, asset distribution. 
• Maintain the inventory of agents and their inputs; refresh prompts and components as the underlying strategy evolves; run regular spot checks for quality drift; operate the human-in-the-loop review layer on AI outputs before they reach advisors. 
• Author and maintain advisor-facing and team member enablement.
• Drive cross-functional projects to completion across teams and departments. 
• Track and report analytics for advisor-led organic growth and surface insights.
• Lead prospective advisor recruiting calls, articulating Farther's marketing growth capabilities

The Ideal Match

• 5-8 years in B2B2C marketing, wealth management marketing, or content/systems roles directly serving professionals in a service industry.
• Demonstrated track record in building and maintaining structured, reusable systems such as content libraries and resource hubs. 
• AI-native. Daily user of Claude, ChatGPT, or Gemini for real work. Has shipped and maintained something built around an LLM (a Project, a Gem, a custom GPT, an internal tool, a structured prompt library). Can talk fluently about retrieval, system prompts, metadata, and where AI quality breaks down.
• Strong project management discipline, working on parallel workstreams, and pushing things over the line without dropping handoffs. 
• Process designer to know how to build processes, identify broken workflows, and rebuild them.
• Comfortable defining and measuring KPIs, establishing and using dashboards, surfacing insights, and using data to prioritize. 
• Collaborative operator who treats Compliance, Integrated Marketing, Recruiting, Advisor Experience, and Product as partners rather than gates.

Bonus Points

• Collaborative operator who enjoys serving as the "last mile" for firm-level strategies, working closely with Integrated Marketing, Recruiting, Advisor Experience, and RIA Leadership to scale a coaching-centric advisor growth model

Why Join Us 

• Competitive comp package that rewards impact
• Work alongside some of the brightest minds in fintech
• Ground-floor opportunity at a fast-scaling startup
• Chart your own growth path as we expand
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO

Ready to disrupt wealth management? Let's talk!

The Role

This role runs Farther's advisor growth systems day-to-day: owns the content library lifecycle, authors and enforces the operating processes, drives projects across stakeholders, and keeps the machine moving and improving across hundreds of advisors. You'll be measured on operational excellence and marketing results at scale — contributing meaningfully to strategy and direction set by Advisor Marketing and cross-functional leadership.

This is for someone who is energized by content systems, process design, and project delivery — and who knows that in a fast-scaling firm, what gets shipped is determined by who runs the operating model.

Your Impact

• Own the lifecycle (intake, editorial review, publication, retirement) of marketing content and component library. Keep the library fresh as ICPs, brand, and services evolve.
• Author and operate the workflows that make advisor marketing happen at scale: compliance review, content production, HubSpot day-to-day operations for advisor marketing, advisor request intake, asset distribution. 
• Maintain the inventory of agents and their inputs; refresh prompts and components as the underlying strategy evolves; run regular spot checks for quality drift; operate the human-in-the-loop review layer on AI outputs before they reach advisors. 
• Author and maintain advisor-facing and team member enablement.
• Drive cross-functional projects to completion across teams and departments. 
• Track and report analytics for advisor-led organic growth and surface insights.
• Lead prospective advisor recruiting calls, articulating Farther's marketing growth capabilities

The Ideal Match

• 5-8 years in B2B2C marketing, wealth management marketing, or content/systems roles directly serving professionals in a service industry.
• Demonstrated track record in building and maintaining structured, reusable systems such as content libraries and resource hubs. 
• AI-native. Daily user of Claude, ChatGPT, or Gemini for real work. Has shipped and maintained something built around an LLM (a Project, a Gem, a custom GPT, an internal tool, a structured prompt library). Can talk fluently about retrieval, system prompts, metadata, and where AI quality breaks down.
• Strong project management discipline, working on parallel workstreams, and pushing things over the line without dropping handoffs. 
• Process designer to know how to build processes, identify broken workflows, and rebuild them.
• Comfortable defining and measuring KPIs, establishing and using dashboards, surfacing insights, and using data to prioritize. 
• Collaborative operator who treats Compliance, Integrated Marketing, Recruiting, Advisor Experience, and Product as partners rather than gates.

Bonus Points

• Collaborative operator who enjoys serving as the "last mile" for firm-level strategies, working closely with Integrated Marketing, Recruiting, Advisor Experience, and RIA Leadership to scale a coaching-centric advisor growth model

Why Join Us 

• Competitive comp package that rewards impact
• Work alongside some of the brightest minds in fintech
• Ground-floor opportunity at a fast-scaling startup
• Chart your own growth path as we expand
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO

Ready to disrupt wealth management? Let's talk!

Strategic Account Executive at Unframe 

Location: Dallas, TX (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

Who You Will Be Working With

You’ll work closely with cross-functional PMG teams, including Client Strategy and Paid Media, to develop data-driven strategies that align with broader marketing goals. Whether it's conducting keyword research, technical SEO analysis, content, or audience strategy, your insights will help brands reach the right people at the right time.     

What You'll Be Doing

At PMG, we believe SEO is more than just rankings—it’s about creating meaningful connections between brands and their audiences. As an SEO Lead, you’ll play a key role in shaping organic search strategies that drive growth, improve visibility, and enhance the overall digital experience for some of the world’s most recognized brands. At PMG, you’ll do more than optimize websites—you’ll shape how brands connect with their audiences through search, making SEO accessible in the process. You’ll join a team of passionate experts who value innovation, creativity, and collaboration. If you’re excited about staying ahead of search and AI platform trends, solving complex challenges, and working with some of the most forward-thinking brands in the industry, this role is for you.

• Lead data-driven SEO strategies that help brands increase visibility, connect with their audiences, and improve performance across search engines.
• Analyze search trends, user behavior, and competitive landscapes to uncover opportunities that fuel organic growth.
• Conduct technical SEO audits, troubleshoot site health issues, and provide actionable recommendations to improve crawlability, indexation, and overall performance.
• Stay on top of algorithm updates, AI advancements, and emerging search trends, proactively evolving strategies to maintain a competitive edge.
• Create compelling dashboards and reports using tools like Looker Studio and GA4, helping teams and clients understand SEO's impact.
• Manage and optimize SEO platforms, integrations, and reporting tools, ensuring teams have the best resources to execute their strategies.
• Work closely with customer Paid Media, Content, Analytics, and Engineering teams to align SEO with broader marketing and business objectives.
• Accountable for program management and responsible for the successful execution of projects, supporting annual planning.
• Provide training, guidance, and insights to customer and internal teams, helping expand SEO knowledge and influence across customers and PMG.
• Utilize and build using PMG SEO tools, including AI and Alli integrations in the form of data analysis using SQL, alerts, reporting and audits.

What You’ll Bring

• 4+ years of experience in SEO, with a bachelor's degree or equivalent work experience. 
• Proven ability to leverage SEO content strategy and technical SEO to enhance search visibility and website performance.
• Strong expertise in marketing metrics, planning, and analysis, ensuring data-driven decision-making for SEO strategies.
• Experience managing project execution and workflow to deliver seamless and impactful SEO initiatives.
• Proficiency with Google Analytics, SEMRush, and Screaming Frog, enabling comprehensive SEO audits and performance insights.
• Understanding of HTML, CSS, and structured data, allowing for improved on-page optimization and technical SEO implementation.
• Skilled in content auditing, keyword analysis and brief creation, supporting the development of high-performing SEO strategies.
• Familiarity with Adobe Analytics, GA4, Google Ads, Microsoft Excel, and tagging techniques to measure and refine SEO impact effectively.
• Familiarity with AIO and LLM Reporting with a foundational understanding of how SEO integrates with AEO strategies.
• A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by leading by Example and nurturing strong relationships that empower others to excel.

The Role 

The Tax Planning Manager is responsible for delivering high-quality, tax-informed comprehensive financial plans in partnership with the firm’s financial advisors and the Strategic Wealth Advisory Team. This role focuses on complex deep tax analysis in conjunction with financial planning, integrating income tax, estate, and business considerations into holistic client strategies for a wide spectrum of client households. This position offers an opportunity to grow and mentor within the industry while contributing to the evolution of modern wealth management.

Your Impact 

• Partner with financial advisors nationwide to perform detailed tax analysis, including marginal rate modeling, Roth conversion analysis, tax-efficient withdrawal strategies, charitable planning, stock option and equity comp planning, and entity-structure implications.
• Collaborate closely with the estate planning team to integrate tax, trust, estate, and investment considerations into unified planning recommendations.
• Review client tax returns to identify planning opportunities related to deductions, credits, loss harvesting, entity selection, and income timing.
• Support the design of tax‑aware investment strategies (e.g., asset location, tax-loss harvesting frameworks, use of tax-efficient vehicles) in coordination with the investment team.
• Take comprehensive client financial data and create detailed financial plans to include scenario modeling, retirement planning, cash-flow analysis and goal-based planning.
• Support advisors in preparing for client meetings by gathering and analyzing relevant financial data
• Contribute to internal tools development, templates, calculators, and workflows that standardize and scale tax and financial planning within our proprietary platform.
• Participate in advisor training, office hours, and webinars to elevate tax and financial planning literacy and adoption across the advisor base.
• Monitor relevant tax law changes and communicate their planning implications to advisors and internal stakeholders.
• Ensure all planning and recommendations adhere to the firm’s fiduciary, compliance, and documentation standards.

The Ideal Match 

• Education qualifications
• Bachelor’s degree in accounting, finance, economics, or a related field
• CFP and CPA/EA
• Advanced degree/designation (e.g., MST, JD with LLM in Taxation, or MBA) a plus
• 3-4 years of experience in tax planning and advice
• Experience in financial planning preferably within an RIA, multifamily office, public accounting firm, or private bank.
• Strong technical knowledge of individual income taxation, retirement plan rules, charitable strategies, and basic estate and gift tax concepts.
• Experience reading and interpreting individual, trust, and small-business tax returns (Forms 1040, 1041, 1065, 1120‑S, etc.).
• Demonstrated ability to translate complex tax and planning topics into clear, actionable guidance for advisors and clients.
• Familiarity with financial planning software and tax modeling tools (e.g., eMoney, MoneyGuide, RightCapital, Holistiplan, or similar) is preferred.

Bonus Points 

• Experience managing a small team of professionals
• Experience working with a technology-first company

Why Join Us

• Competitive comp package that rewards impact
• Work alongside some of the brightest minds in fintech
• Ground-floor opportunity at a fast-scaling startup
• Chart your own growth path as we expand
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO

Ready to disrupt wealth management? Let's talk!

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 10–12+ years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Salary Range:$200-245K Base + equity

Who You Will Be Working With

You’ll work closely with cross-functional PMG teams, including Client Strategy and Paid Media, to develop data-driven strategies that align with broader marketing goals. Whether it's conducting keyword research, technical SEO analysis, content, or audience strategy, your insights will help brands reach the right people at the right time.     

What You'll Be Doing

At PMG, we believe SEO is more than just rankings—it’s about creating meaningful connections between brands and their audiences. As an SEO Senior Manager, you’ll play a key role in shaping organic search strategies that drive growth, improve visibility, and enhance the overall digital experience for some of the world’s most recognized brands. At PMG, you’ll do more than optimize websites—you’ll shape how brands connect with their audiences through search, making SEO accessible in the process. You’ll join a team of passionate experts who value innovation, creativity, and collaboration. If you’re excited about staying ahead of search and AI platform trends, solving complex challenges, and working with some of the most forward-thinking brands in the industry, this role is for you. 

• Develop and implement long-term SEO strategies that support company growth and keep brands competitive in an evolving search landscape.
• Lead cross-functional SEO projects, collaborating with customer marketing, content, and engineering teams to ensure SEO is seamlessly integrated across all digital initiatives.
• Oversee international SEO initiatives and localization strategies, optimizing for global audiences and regional search trends.
• Manage SEO budgets, resources, and vendor relationships, making strategic decisions to maximize performance and efficiency.
• Analyze competitive landscapes to uncover new opportunities, search trends, and areas for organic growth.
• Implement advanced technical SEO solutions, including site migrations, schema markup, and structured data enhancements to improve search visibility.
• Drive data-informed decision-making, using in-depth SEO analysis and reporting to refine strategies and measure impact.
• Optimize SEO workflows and team processes, creating scalable solutions that enhance efficiency and effectiveness.
• Partner with senior leadership to align SEO with broader digital marketing and business strategies.
• Champion SEO education and training within the company, empowering teams with best practices and the latest industry insights.
• The primary focus of this role is SEO, ensuring excellence in strategy, execution, and performance. However, you'll also have opportunities to collaborate across other media channels, supporting integrated campaigns that drive broader marketing success.
• Utilize and build using PMG SEO tools, including AI and Alli integrations in the form of data analysis using SQL, alerts, reporting and audits.

What You Will Bring

• 6+ years of experience in SEO, including 3+ years of leadership experience, with a bachelor’s degree or equivalent work experience.
• Expertise in SEO content strategy and technical SEO, driving optimizations to enhance search performance and user experience.
• Strong analytical skills in marketing metrics, planning, and strategy, using data-driven insights to refine SEO initiatives.
• Experience in project management, leading SEO initiatives from strategy development to execution and optimization.
• Proficiency in Google Analytics, SEMRush, Screaming Frog, and Ahrefs, conducting in-depth SEO audits and competitive analysis.
• Knowledge of HTML, CSS, and structured data, ensuring effective on-page SEO and search engine indexing improvements.
• Expertise in keyword analysis, content auditing, and web page optimization, crafting high-performing, data-driven SEO strategies.
• Familiarity with AIO and LLM Reporting with a foundational understanding of how SEO integrates with AEO strategies.
• Familiarity with Adobe Analytics, GA4, Google Ads, Microsoft Excel, and tagging techniques to measure and refine SEO impact effectively.
• A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in Vancouver, BC Canada

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

About Care.com 

Care.com is a consumer tech company with heart. We’re on a mission to solve a human challenge we all face: finding great care for the ones we love. We’re moms and dads and pet parents. We have parents and grandparents, so we understand that everyone, at some point in their lives, could use a helping hand. Our culture and our products reflect that. 

Here, entrepreneurs, self-starters, team players, and big thinkers unite behind a common cause. Here, we’re applying data analytics, AI, and the latest technologies to solve universal problems and connect people in new ways. If you like having autonomy, if you thrive on collaboration and building new things, and if you’re all about using your talent for good, Care.com is the place for you. 

Position Overview:

We're looking for a Manager of SEO & GEO who is equally comfortable building a SEO strategy in a Google Doc and shipping a structured data fix in collaboration with an engineer. You will own Care.com's organic search presence end-to-end — from identifying opportunities to seeing them through to production, and be a key voice in how AI-driven search and answer engines shape our future growth.

This is not a strategy-only role. We expect you to be hands-on keyboard, deeply analytical, and execution-focused.

What You’ll Do:

• Organic Growth: Build and execute the SEO roadmap across technical, content, and off-page. Own the numbers: traffic, rankings, conversions. No handoffs, no excuses.
• AI-Optimized Search (AIO): Define and drive Care.com's strategy for visibility in AI-generated results — Google AI Overviews, ChatGPT, Perplexity, and whatever comes next. Optimize entity coverage, content structure, and schema to ensure we're the answer, not just a result.
• Technical SEO: Run audits, triage issues, and ship fixes. Partner with engineering from requirements through QA — you write the tickets, you join the sprints, you own the outcome. SEO is built into the product lifecycle, not bolted on afterward.
• Content & On-Page: Own the full cycle from keyword brief to published page. Build scalable frameworks for programmatic SEO across Care.com's care categories. Every page should earn its index.
• Cross-Functional Influence: Be the SEO authority for Product, Engineering, Marketing, and Data. Align with Paid on SERP strategy. Build dashboards that make organic performance impossible to ignore.

Who You Are:

Experience

• 4+ years of SEO experience
• Proven track record of driving significant organic traffic and revenue growth at scale
• Direct experience working within or alongside engineering/product teams in an agile environment
• Demonstrated experience with AI search optimization (AIO, LLM-based search, featured snippets, entity optimization)

Technical Skills

• Expert-level proficiency with SEO tools: Google Search Console, Ahrefs, Semrush, Screaming Frog, Botify, or similar
• Comfortable reading and writing HTML, CSS basics, and structured data (JSON-LD/Schema.org)
• Experience with log file analysis, JavaScript SEO challenges, and large-scale site architecture
• Proficiency with analytics platforms (GA4, Looker, Tableau, or similar)

Soft Skills & Mindset

• A bias for action — you move fast, test, learn, and iterate
• Strong communicator who can translate complex SEO concepts for non-technical stakeholders and write airtight engineering tickets
• Project management chops — you can manage multiple initiatives simultaneously without dropping the ball
• Entrepreneurial ownership mentality: you treat the organic channel like it's yours to build
• 1–2 years in a lead or manager-level role are a nice to have, you will be cross collaborating heavily with product and engineering teams

Work Environment: Hybrid - In office MW&T
Office Location: 2801 North Central Expressway, 11th Floor Dallas TX 75204

Company Overview:

Available in 21 countries, Care.com is one of the largest providers of online services for finding family care and care jobs, spanning in-home and in-center care solutions. Since 2007, families have relied on Care.com for an array of care for children, seniors, pets, and the home.  Designed to meet the evolving needs of today’s families and caregivers, the Company also offers customized corporate benefits packages to support working families, household tax and payroll services, and innovations for caregivers to find and book jobs. 

Salary Range:  $85,000 - 95,000

The base salary range above represents the anticipated low and high end of the national salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Care.com’s total compensation package for employees. Other rewards may include annual bonuses and short- and long-term incentives. In addition, Care.com provides a variety of benefits to employees, including health insurance coverage, life, and disability insurance, a generous 401K employer matching program, paid holidays, and paid time off (PTO).

#LI-Hybrid

Lantern is looking for a Director of AI Engineering to lead the strategy, development, and delivery of AI and machine learning capabilities across the organization. This is a senior leadership role responsible for building and scaling a high-performing AI engineering team, setting the technical vision for ML/LLM systems, and ensuring that AI initiatives are tightly aligned with Lantern’s product strategy, care workflows, and business objectives. You will report to the VP of Engineering and work closely with executive leadership to shape how AI transforms care delivery and operations at Lantern.

In this role, you will own the end-to-end AI engineering function—from research and prototyping through production deployment and continuous improvement. You will be expected to move fast, driving rapid proof-of-concept development and delivering production-grade AI solutions on aggressive timelines. You will establish the technical roadmap, define engineering standards, build team culture, and drive execution across multiple concurrent AI initiatives. Your work will directly impact how Lantern leverages intelligent systems to improve patient outcomes, operational efficiency, and scalable growth.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX / Chicago/Evanston / New York / Washington, DC

Responsibilities:

• Define and execute the AI engineering strategy and technical roadmap, ensuring alignment with Lantern’s product, clinical, and business priorities.
• Build, lead, and scale a high-performing AI engineering team, including hiring, mentoring, performance management, and creating a culture of technical excellence and innovation.
• Drive rapid AI proof-of-concept development, moving from problem identification to working prototypes on aggressive timelines, and shepherding successful POCs into production-grade systems.
• Own the end-to-end lifecycle of ML/LLM systems—from research and experimentation through production deployment, monitoring, and continuous improvement.
• Establish and maintain best-in-class MLOps practices: experiment tracking, reproducibility, CI/CD for models, automated testing, drift detection, observability, and scalable infrastructure on Azure.
• Partner with product, clinical operations, marketing, data, and engineering leadership to identify high-impact AI opportunities and translate them into well-scoped, executable initiatives.
• Lead architecture decisions for ML/LLM systems, ensuring scalability, reliability, security, and compliance with healthcare regulations.
• Establish clear KPIs and success metrics for the AI engineering function, including model performance, delivery velocity, team health, and business impact.
• Champion responsible AI practices across the organization, including fairness, transparency, explainability, and regulatory compliance in healthcare contexts.
• Represent the AI engineering function to executive leadership, providing regular updates on progress, risks, and strategic recommendations.
• Build external visibility for Lantern’s AI capabilities through thought leadership, community engagement, and talent brand building.

Experience & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience; Master’s preferred.
• 10+ years of experience in software engineering or machine learning, with at least 4 years in a leadership role managing ML/AI teams.
• Proven track record of building and shipping production ML/LLM systems at scale, including end-to-end ownership from research through deployment.
• Deep technical expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn), LLM technologies (prompt engineering, RAG, embeddings, fine-tuning, agents), and modern MLOps practices.
• Strong experience with cloud-native ML infrastructure on Azure, including Azure ML, Databricks, and Azure DevOps pipelines.
• Demonstrated ability to rapidly prototype AI solutions and drive them to production on aggressive timelines.
• Experience with big data ecosystems (Spark, Databricks, Delta Lake) and streaming technologies.
• Excellent leadership skills: hiring and developing high-performing teams, managing cross-functional relationships, and influencing at the executive level.
• Strong strategic thinking with the ability to balance long-term vision with near-term execution and business impact.
• Experience operating in regulated environments, ideally healthcare, with an understanding of compliance, data governance, and responsible AI principles.
• Outstanding communication skills with the ability to translate complex technical concepts for non-technical stakeholders and executive audiences.

Strong Candidates will have:

• Experience applying AI/ML capabilities in healthcare, health tech, or other regulated industries.
• Background working with clinical data, claims data, or healthcare operational workflows.
• Experience building and scaling AI teams from the ground up, including defining team structure, processes, and culture.
• Track record of delivering AI-powered products that drove measurable business outcomes.
• Experience with LLM agents, agentic workflows, tool-use orchestration, or multi-step reasoning systems.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Role: Senior Production Technology Director

Location: Dallas, TX

About the role: 

Working in true collaboration with our tech team, we are looking for a Senior Production Technology Director to help audit our current processes and develop a production technology toolset that is robust, scalable, and increasingly powered by AI and advanced automation. You will be working with the, internal clients Implementation, IT & Services, and Sales to develop new workflows as a core part of our service offering. The purpose of this role is to manage overall daily production support across the group, oversee the specification and build of AI-powered tools and solutions, and consistently improve current workflows to enhance cost and production efficiency, quality, and service levels. You will guide and manage a team of Developers and Technology Managers, setting technical direction, nurturing talent, and ensuring the team operates together at a high standard across all production technology initiatives. This includes overseeing the team's adoption and proficient use of AI-assisted coding and scripting tools (such as GitHub Copilot, ChatGPT, Claude, and other LLM-based development assistants) to accelerate development cycles, improve code quality, and reduce manual effort in building and maintaining production solutions. 

You will be required to support the Technology Director in the management of key new account implementations from a technical and operational point of view, working with them to create comprehensive projects to deliver production automation and company-wide solutions. This includes identifying, specifying, and building overseeing bespoke AI-powered tools — from adaptive workflow automation and predictive production scheduling to AI-enabled quality assurance and content adaptation — cooperating with internal stakeholders to ensure plans are delivered on time and on budget. With a track record in complex projects, you will help ensure the smooth transition of the plan and manage ongoing needs. The primary focus for this role will be to implement and consistently improve the daily operational effectiveness of accounts. Tightening up processes, streamlining workflows, embedding AI and machine learning solutions where they can deliver measurable gains, and ensuring teams cooperate around best practices — making sure we are utilising the systems, resources, and partners we have to their fullest potential. 

The Senior Production Technology Director is responsible for ensuring that the agency has best-in-class processes, systems, and AI capabilities that maintain the highest standards in project and campaign delivery and meet the evolving demands of the client with the same level of commitment and passion as the client. Work with the Production Support Team to define and implement workflows on tools like Dalim ES/Twist and other automation tools, including AI-enabled automation platforms, and to promote use of automation and AI across the group. Working with the Global Technology and Innovation Director, PMO office, and OMG team to evaluate, architect, and implement AI-powered automation software across our network of agencies and hubs globally — including assessing emerging AI technologies, building proof-of-concept solutions, and scaling successful implementations across the business.

What you will be doing: 

• Guide, manage, and develop a team of Developers and Technology Managers, setting clear goals, conducting code reviews, and fostering a culture of innovation, collaboration, and continuous improvement 
• Spec, design, and oversee the build of AI-powered production tools and platforms — from requirements gathering and solution architecture through to development, testing, and deployment 
• Encourage and promote the use of AI-assisted coding and scripting tools across the development team (e.g., GitHub Copilot, LLM-based code generation, automated testing frameworks, AI-enabled debugging) to accelerate delivery, improve code quality, and reduce repetitive manual development tasks 
• Evaluate emerging AI/ML technologies (including generative AI, computer vision, NLP, and smart automation) for application within production workflows, recommending and implementing solutions that deliver tangible efficiency and quality gains 
• Build and maintain AI-powered automation pipelines for content production, asset management, quality control, and workflow orchestration 
• Accountable for delivery of assigned projects to time, scope, and quality 
• Advise and connect with stakeholders internally and externally, developing warm, trusting working relationships with various teams across the business and with key client contacts 
• Ensure project plans are signed off and have met quality standards and guidelines before deployment 
• Ensure projects are accurately recorded within agreed tools 
• Ensure all tools are deployed following consistent agency standards, e.g., our internal tool OMG 
• Map and deploy agreed process changes, including AI-augmented workflows and adaptive routing and prioritisation systems 
• Ensure key documentation is created and training is provided to new team members, including AI tool onboarding and upskilling programmes for the wider production team 
• Provide input into ongoing process improvements and changes to ensure the team is continuously improving, leveraging data insights and AI to inform and shape direction 
• Establish best practices and governance frameworks for responsible AI use, including data privacy, ethical AI standards, and quality assurance for AI-generated outputs 
• A desire to be in the detail — systems, processes, profitability, utilisation, production, and delivery 
• Experience in fast-paced agencies. This business manages scale and speed across the USA and Canada 
• Trusting, dependable relationships built through honest, consistent delivery 

What you need to be great in this role: 

• 10+ years of technical services experience in a complex production environment — not a traditional agency — across Print, Digital, Social, and Motion technologies 
• Demonstrated experience managing and nurturing teams of Developers and Technology Managers, with a track record of attracting, retaining, and growing technical talent 
• A solid understanding of AI and machine learning technologies, including practical experience specifying, building, or implementing AI-powered tools and solutions within a production or creative technology environment 
• Hands-on experience with AI-assisted development workflows — comfortable using and promoting tools like GitHub Copilot, ChatGPT/Claude for code generation, scripting automation, prompt engineering, and AI-enabled QA/testing 
• Experience with AI/ML frameworks, APIs, and platforms (e.g., OpenAI, Azure AI, AWS AI/ML services, Google Cloud AI, or similar) and an understanding of how to integrate these into production systems 
• Familiarity with scripting and programming languages commonly used in production automation (e.g., Python, JavaScript, Shell scripting) with the ability to leverage AI tools to accelerate coding, troubleshooting, and solution development 
• Experience in building and deploying complex production technologies 
• Experience in implementation of large-scale projects and ideally change management processes 
• Ability to manage multiple projects in a fast-paced environment 
• Excellent planning and organisational skills 
• Ability to work under pressure to meet deadlines 
• Effective interpersonal and collaborative judgement skills 
• Excellent attention to detail and accuracy skills 
• Capable and forward-thinking — able to manage their work and always meet commitments 
• A thoughtful, methodical thinker with common sense 
• Ability to question constructively and explore ideas openly (both their own and others') 
• Ability to see the bigger picture 
• Technical competence and understanding of creative process / working within a creative environment 
• Clear, effective communication skills both internally and externally with clients 
• Past experience in managing external partner relationships 
• A genuine passion for AI innovation and a curious, considerate mindset — constantly exploring how new technologies can transform production workflows and deliver meaningful advantage 
• At the time of this posting, the base salary for this position may range from  $123,250.00 to $137,750.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 16511

#LI-FD1 #LI-director 

GitHub AI Consultant

Position Responsibilities

Skills, Knowledge and Expertise

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Staff Attorney position, in any of our offices.

This position offers a flexible, hybrid working arrangement.

The Position

This is not your average discovery role. We’re looking for a sharp, investigative lawyer who enjoys working as part of a team and thrives on digging deep, spotting critical issues, and navigating complex discovery landscapes with precision. If you enjoy engaging directly and collaborating with in-house and outside counsel and crafting tailored discovery responses that align with both individual case nuances and broader national strategies, this dynamic position is for you. This is not a document review position; this person will be part of a dynamic team that develops and executes national strategies for a large international firm client.

Key Responsibilities:

• Conduct thorough investigations and proactively spot discovery issues unique to each case.
• Collaborate closely with inside counsel and external law firms to address distinct discovery challenges and provide clear, actionable guidance.
• Develop and craft strategic discovery responses tailored to individual cases while ensuring alignment with overarching national litigation strategies.
• Operate in a fast-paced, dynamic legal environment where adaptability and innovative problem-solving are essential.
• Continuously monitor and evaluate discovery processes to identify opportunities for improvement and risk mitigation.

Qualifications

• Juris Doctor (JD) degree from an accredited law school.
• Admission to practice law in relevant jurisdictions.
• Proven experience in litigation discovery, investigations, or related legal roles.
• Strong analytical and issue-spotting skills with attention to detail.
• Excellent communication skills and ability to collaborate effectively with diverse legal teams.
• Excellent writing skills.
• Comfortable working in a dynamic, fast-moving environment.
• Experience with AI large language model is a plus.
• Personal injury litigation background preferred.

We are not currently accepting agency submissions for this position.  

Purpose of Role

As MFFU seeks registration as an Introducing Broker (IB) and builds its own proprietary trading platform, the Head of Compliance will be responsible for ensuring that these initiatives meet all applicable legal and regulatory requirements. This includes navigating NFA registration processes, platform governance, and proactively embedding compliance into product development and customer onboarding processes.

Reporting to the Chief Operating Officer, the Head of Compliance will design, implement, and manage a comprehensive compliance management system that ensures adherence to applicable laws, rules, and industry standards. This leader will partner with executive management, product, trading operations, and risk teams to embed compliance into daily processes, enabling innovation while maintaining regulatory excellence.

This is a pivotal leadership role, responsible for developing compliance frameworks that support MFFU’s growth, maintain regulatory integrity, and protect traders, partners, and the firm.

Key Responsibilities

Compliance Leadership

• Lead the design and ongoing management of MFFU’s enterprise compliance program, including policies, monitoring, and reporting systems.
• Build and oversee a team responsible for operational compliance, AML/KYC, licensing, and risk governance.
• Ensure compliance with CFTC, NFA, and CME Group regulations and applicable futures and derivatives laws.
• Ensure compliance with know-your-customer (KYC), account supervision, risk disclosure, and segregation requirements applicable to IBs.
• Serve as the firm’s primary liaison with regulators, external auditors, and legal advisors.

Regulatory & Licensing Oversight

• Manage the firm’s registration and licensing obligations as an Introducing Broker, including NFA filings, annual renewals, and disclosures.
• Develop IB operational controls in coordination with partnered FCMs, including account reconciliation, customer complaint handling, and dispute resolution processes.
• Oversee partner relationships with FCMs, vendors, and service providers to ensure contractual and regulatory compliance.
• Maintain required reporting and recordkeeping frameworks, ensuring readiness for regulatory examinations.

Compliance Program Development

• Develop, implement, and maintain policies related to trade surveillance, data protection, risk management, and conflicts of interest.
• Establish robust AML/KYC procedures aligned with futures and brokerage operations.
• Collaborate with product and technology teams to embed “compliance by design” into platforms and workflows.
• Lead regular compliance training across all departments and promote a culture of integrity, accountability, and transparency.
• Serve as the compliance stakeholder in the development of MFFU’s proprietary trading platform, ensuring integration of:
• Trade surveillance systems
• Customer data protection and retention protocols
• Regulatory reporting (e.g., NFA/CFTC)
• Risk management controls, including pre-trade risk checks and margin controls
• Partner with engineering, UX, and product teams to implement compliance-by-design architecture and user flows for onboarding, trading, and account management.
• Develop compliance protocols for algorithmic and automated trading strategies, including flagging suspicious or manipulative trading behavior.
• Oversee cybersecurity compliance in accordance with NFA/CFTC guidance and future SEC/CISA expectations as platform matures.
• Develop and maintain a compliance risk register for new products or platform features, including emerging risks like digital assets, API access, and automated trading.

Monitoring & Governance

• Review and interpret regulatory changes, ensuring timely communication and adaptation within the firm.
• Conduct internal audits and testing to identify, assess, and remediate compliance risks.
• Report key compliance risks and trends to the COO, CEO, and Board of Directors.
• Oversee investigation and remediation of compliance issues, ensuring documentation and corrective action.

Qualifications

• Bachelor’s degree in Finance, Economics, Law, or related field required; advanced degree (JD, MBA, or LLM) preferred.
• 10+ years of experience in compliance, risk, or regulatory roles within a futures, brokerage, or fintech organization.
• Deep knowledge of CFTC, NFA, and CME Group rules, futures industry regulations, and Introducing Broker operations.
• Proven success in building or scaling compliance frameworks within a regulated or transitioning financial entity.
• Strong understanding of AML/KYC requirements, trade surveillance systems, and data governance.
• Experience collaborating with regulators, auditors, and executive teams in complex, fast-paced environments.
• Series 3 and/or Series 30 licenses (or ability to obtain within 120 days).

Preferred Experience

• Prior experience registering or operating an Introducing Broker, CTA, or FCM entity.
• Exposure to algorithmic trading or electronic market infrastructure.
• CAMS, CRCM, or FRM certification is a plus.
• Direct involvement in building or managing compliance for a proprietary trading or brokerage platform
• Understanding of market data feeds, exchange integration, and pre/post-trade analytics
• Familiarity with trading technology stacks such as FIX, WebSocket, or REST APIs
• Experience with compliance tools such as Actimize, NICE, Refinitiv, or similar surveillance systems