Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

AI Engineer (Entry-Level / Associate)

Location: Baltimore, MD | Practice Area: Technology & Engineering | Type: Permanent

Build the next generation of AI-powered applications using cutting-edge technologies and real-world impact

The Role

We are seeking an early-career AI Engineer to join our growing Technology & Engineering practice. This role offers the opportunity to work hands-on with generative AI, foundation models, and modern full-stack development while being supported by experienced engineers. You will contribute to building intelligent applications that solve real business challenges across financial services, with exposure to front, middle, and back-office operations transformation initiatives.

The ideal candidate will combine technical curiosity with an understanding of financial services operations, helping clients reinvent and optimize operational processes through AI-enabled solutions while supporting business analysis, feature reporting, and stakeholder collaboration.

What You’ll Do

• Support the design and development of applications leveraging foundation models (LLMs, multimodal AI) and intelligent automation capabilities
• Experiment with generative AI techniques including RAG and prompt engineering under guidance to solve operational and business challenges
• Contribute to building AI agents and workflows using frameworks such as LangChain or Semantic Kernel
• Assist in developing full-stack applications and APIs integrating AI capabilities across front, middle, and back-office financial services operations
• Collaborate in agile teams while contributing to testing, deployment, process reinvention initiatives, and feature reporting activities

What We’re Looking For

• Bachelor’s degree in Computer Science, AI, Data Science, or equivalent practical training
• Proficiency in Python and familiarity with at least one AI/ML framework (e.g., PyTorch, TensorFlow)
• Foundational experience with generative AI, LLMs, and hands-on experience with RAG through academic, internship, or personal projects
• Understanding of financial services operations across front, middle, or back-office functions, with the ability to identify opportunities for process improvement and support business analysis activities
• Strong communication and collaboration skills with a proactive approach to learning, stakeholder engagement, and reporting on business and technical features

Bonus Points For

• Experience with tools or frameworks such as LangChain, AutoGen, Semantic Kernel, or OpenAI APIs
• Exposure to front-end or back-end technologies including React, JavaScript, Node.js, or FastAPI
• Knowledge of vector databases, data pipelines, APIs, cloud concepts, Git, and CI/CD practices
• Familiarity with deploying AI/ML workloads on AWS, Azure, or GCP
• Internship or hands-on project experience within AI, machine learning, or financial services technology environments

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

Benefits

• Medical, Dental, Vision coverage
• 401(k) with employer match
• Paid parental leave and dependent care support
• Tuition and wellness reimbursement programs
• Access to employee discount platforms, HSA/FSA, and commuter benefits

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job?                  

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mindgrub Technologies is a digital agency specializing in digital transformation for established enterprises and growth-stage companies. We build complex, deeply integrated applications that power critical experiences for enterprises and startups alike. Our engineering teams work across web, mobile, and cloud platforms, delivering solutions that range from multi-million dollar platform modernizations to fast-moving, high-impact digital builds.

The Opportunity

Mindgrub is seeking a Senior Director of Software Engineering to lead and scale our entire engineering organization. This is a senior leadership role with accountability for engineering delivery, performance, and growth across all client engagements.

This role operates as a Director-of-Directors position. You will lead Directors of Web, Mobile, and Cloud Engineering while partnering closely with peer leaders across Project Management, Quality Assurance, Product Strategy, Design, and Managed Services Operations. You will report to the Vice President of Professional Services and play a critical role in shaping how Mindgrub delivers high-quality software at scale.

You will own engineering delivery from early sales solutioning through successful project launch and execution. As Mindgrub continues to grow, this leader will also help expand our technical solution offerings, particularly in AI-enabled delivery, cloud platforms, and emerging technologies.

This role is ideal for a senior engineering leader with deep experience in agency or consultancy environments who can balance technical excellence, delivery accountability, people leadership, and business partnership.

What Success Looks Like

• A healthy, accountable, and engaged engineering culture characterized by trust, clarity, ownership, and continuous improvement
• Improved client satisfaction driven by consistent execution and technical leadership
• Predictable, high-quality delivery with reduced estimate-to-actual variance
• Healthy utilization and staffing models that support both growth and team sustainability
• Strong Director-level ownership with minimal delivery escalation
• Engineering viewed internally and externally as a trusted partner in growth and delivery

Responsibilities

• Engineering Leadership
  • Accountable for the performance, quality, and scalability of the Mindgrub engineering organization
  • Lead and develop a multi-disciplinary engineering organization of 40+ engineers across web, mobile, and cloud 
  • Manage a blended delivery model including full-time staff, contractors, and delivery partners
  • Embrace, mentor, and grow engineering directors and managers
  • Drive engagement, retention, and career growth within the engineering organization
  • Establish and maintain engineering standards and best practices that scale
    
    
• Engineering Performance & Enablement
  • Own engineering productivity and efficiency outcomes
  • Partner with Product, Design, QA, and Project Management to influence performance across the delivery organization
  • Scale human-centered engineering performance through insights-based action and enablement
  • Improve estimation accuracy and reduce delivery variance on projects
  • Lead the identification and implementation of improvements to tools, processes, and workflows that increase team effectiveness
  • Leverage AI and automation pragmatically to improve delivery quality, velocity, and operational efficiency
  • Establish metrics and feedback loops that drive continuous improvement
    
    
• Solution Development & Client Engagement
  • Partner with sales and account teams from early opportunity identification through project launch
  • Lead technical solutioning for complex enterprise engagements, including strategy, architecture, technical plans, and resource plans
  • Identify opportunities to expand Mindgrub's solution offerings, particularly in AI, cloud, and emerging technologies
  • Serve as a trusted technical advisor to clients, translating business requirements into scalable technical solutions
  • Develop accurate estimates and staffing models for projects of varying size and complexity
    
    
• Delivery Excellence
  • Own accountability for engineering delivery outcomes: high-quality products delivered on time and within budget
  • Set the standard for delivery quality, predictability, and accountability
  • Partner with Product, Design, QA, and Project Management to drive cross-functional alignment and shared accountability
  • Reduce defect rates and rework through proactive quality practices and QA collaboration
  • Guide teams through complex technical challenges; provide architectural oversight and hands-on guidance when needed
  • Balance competing priorities across multiple concurrent client engagements
    
    
• Business Growth & Innovation
  • Scale engineering capacity in alignment with Mindgrub's revenue growth and demand
  • Stay current on industry trends and emerging technologies; bring forward opportunities to differentiate Mindgrub in the market
  • Contribute to strategic planning and long-term roadmap for engineering capabilities
  • Be a thought leader internally and externally

We recognize this is a broad role, and you don’t need to check every box to apply. If you see yourself succeeding quickly in some aspects of the role and growing into others, we encourage you to apply. Let us know in your cover letter how your experience aligns, where you’d value support, and which parts of this role you’re most excited about and see as opportunities to make an immediate impact.

Requirements

• Must Have
  • 15+ years of software engineering experience with 10+ progressive leadership responsibility
  • Experience leading engineering organizations of 50+ people, including managing managers
  • Experience managing contractors and delivery partners as part of a blended delivery model
  • Consulting, agency, or professional services background building large, enterprise, deeply integrated applications
  • Proven ability to develop end-to-end solutioning: strategy, architecture, technical plans, and resource plans
  • Experience managing multi-disciplinary projects across a range of sizes and complexity levels
  • Demonstrated ability to engage at a principal or architect level in technical discussions and decision making
  • Technology-agnostic mindset with ability to lead across diverse stacks (we work in .NET, JavaScript/React, Python, cloud platforms, and mobile)
  • Strong client-facing skills with experience engaging enterprise stakeholders from sales through delivery
  • Ability to work East Coast hours
  • Ability to travel to our Baltimore HQ and other locations regularly (~15%)
    
    
• Should Have
  • Hands-on experience in AI technologies, including building AI-powered tech, integrating AI into tech stacks, and leveraging AI to improve how work gets done
  • Experience scaling or launching new service offerings within an agency or consultancy
  • Financial acumen, including understanding of utilization, margin, delivery cost, and the financial implications of staffing and delivery decisions
  • Experience executing dynamic resource planning across multiple concurrent projects, including frequent reprioritization

Compensation

• $160,000 - $180,000 USD
• Base compensation will be determined based on a variety of factors including skills, education, certifications, and overall experience for this role.

The Perks of Being a Full Time Mindgrubber 

• Work remotely or in the office - your choice! 
• Excellent benefits package that includes medical, dental, vision, and 401(k)
• Employer-paid Short-Term Disability (STD)
• Paid Time Off available when you start
• Free access to Premium Calm app subscription
• Annual training budget dedicated to your professional development
• A variety of fun Mindgrub hosted events and Committees to join (e.g. Adventure Club, Fun Committee, DEI Committee, Mindgrub Meet Ups, and more!)

Inclusivity without exception | At Mindgrub we value and encourage mutual respect and acceptance. We know we all have something to contribute. We work every day to ensure all are welcome, and that we treat all people with fairness and dignity.

No phone calls or recruiters, please.

#LI-Remote

AI Demand Innovation Specialist 

 
The Opportunity  
 
We're looking for an AI Demand Innovation Specialist to join our team in Toronto as part of our Sales function. The AI Demand Innovation Specialist will play a critical role in optimizing our sales AI-powered technology stack & it’s integrations, supporting Sales team pipeline campaigns, and enabling data-driven decision-making across the revenue organization.  

This role requires significant experience with Salesforce, HubSpot (Marketing & Sales Hub), other GTM technologies, and the ability to partner with sales, marketing and RevOps stakeholders to drive operational excellence. This is an exciting opportunity for a detail-oriented, tech-savvy individual who is passionate about building scalable processes, leveraging AI, and bridging the gap between sales & marketing. You’ll have the chance to shape how we utilize tools, data, and AI-automation to accelerate growth. 
 
What You Will Do: 
 
In this role, you’ll support and enhance our Sales support infrastructure to ensure the effectiveness of our demand generation and revenue programs. Responsibilities include: 
 

• Support, optimize, and troubleshoot various Sales tooling & it’s AI capabilities, ensuring team members can work effectively. 

• Build, maintain, and optimize AI workflows, lead flows, and scoring frameworks to improve funnel health. 

• Maintain integrations between HubSpot, Salesforce, and other tools to ensure data accuracy and consistency. 

• Enable AI-supported campaign execution by aligning marketing signals with sales actions. 

• Partner with the Marketing & Demand Generation teams to support campaign execution  

• Work with RevOps to build performance reporting, including pipeline attribution and ROI analysis. 

• Assist with data hygiene projects across various data sources, ensuring accurate lead, contact, and account information. 

• Identify opportunities for process improvements and automation across the Sales function. 

• Partner with Sales Operations to align on lead routing, qualification, and reporting. 

Who You Are: 
 

• 3+ years of hands-on Sales or Marketing Operations experience, with expert-level HubSpot (Marketing Hub), Salesforce, and AI knowledge. 

• Proven ability to deploy AI-powered automation across GTM workflows (lead routing, enrichment, follow-ups, task creation), CRM integrations (Salesforce), and Sales engagements. 

• Experience using AI for pipeline analysis, forecasting support, and deal risk identification 

• Deep understanding of lead management, scoring, routing, and pipeline development. 

• Experience with BI/reporting tools is a plus. 

• Experience with basic coding/scripting (SQL, Python, Javascript, APIs (Postman), Version Control (Git) is a plus. 

• Strong written and verbal communication skills to effectively collaborate internally with colleagues and externally with clients. 

• Team player with a genuine desire to contribute to the overall success of the entire team.