About the Role: 

We are looking for a highly motivated  Sales Engineer with a strong background in AI infrastructure to join our dynamic team. In this role, you will play a critical part in driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to our clients. 

Key Responsibilities: 

• Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success. 

• Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. 

• Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies. 

• Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment. 

• Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives. 

• Assist with post-sales enablement to ensure successful deployment and customer satisfaction. 

• Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices. 

• Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions. 

Qualifications: 

• Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure. 

• Strong communication and presentation skills with the ability to influence both technical and business stakeholders. 

• Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows. 

• Familiarity with machine learning workflows, MLOps tools, and data engineering best practices. 

• A proactive mindset and a customer-first attitude. 

Position Overview

We are seeking a dynamic and results-driven Strategic Account Executive to focus on acquiring new customers and expanding our market presence in the enterprise segment. In this role, you will help large, complex organizations adopt and scale our cutting-edge data, AI, and analytics platform to drive transformation at scale. You will own the entire sales cycle, from strategic prospecting to contract execution and work closely with senior technical and business stakeholders to deliver high-impact, tailored solutions. This role is pivotal in driving revenue growth through the pursuit, development, and closure of high-value enterprise opportunities. The ideal candidate thrives in highly complex sales environments, is trusted at the executive level, and knows how to move big deals forward.

Key Responsibilities

• Enterprise New Business Development: Identify, qualify, and pursue large-scale enterprise opportunities to secure new logos and major expansion deals.

• Solution Selling: Use a consultative, value-based approach to diagnose enterprise challenges and align our platform to business and technical objectives.

• Executive Engagement: Build deep relationships with C-suite and VP-level leaders including CIOs, CTOs, CDOs, and business unit heads.

• Strategic Pipeline Management: Develop and manage a strong, high-value pipeline with clear deal strategy, close plans, and accurate forecasting.

• Targeted Prospecting: Execute strategic outreach including account-based selling, executive-level networking, and event-based engagement.

• Complex Sales Cycle Management: Lead all phases of multi-stakeholder, multi-month enterprise sales cycles including discovery, demos, proposals, business cases, negotiations, and closure.

• Market & Account Intelligence: Monitor industry trends, account priorities, budgets, and competitive activity to identify and shape opportunities.

• Cross-Functional Leadership: Partner with marketing, product, customer success, and leadership to support enterprise deal strategy and post-sale success.

• CRM Discipline: Maintain detailed and accurate activity, pipeline, and account information in CRM systems (Salesforce/HubSpot or equivalent).

• Revenue Performance: Consistently meet or exceed enterprise quota targets and key performance indicators.

Qualifications

Location:  Remote with a high preference for candidates within the NYC & Chicago metro area(s). 

Experience
10+ years of enterprise sales experience with a strong record of closing large, complex deals (6–7+ figure ACVs), preferably selling SaaS, data, AI, or analytics platforms.

Education
Bachelor’s degree in business, marketing, or a related field; MBA is a plus.

Skills

• Proven ability to prospect, develop, and close enterprise level opportunities

• Experience managing full cycle, multi stakeholder enterprise sales motions

• Strong command of structured sales methodologies (MEDDICC, Challenger, Spin, etc.)

• Executive level communication, presentation, and influence skills

• Proven ability to navigate complex buying groups and long procurement cycles

• Expertise in building business cases and articulating ROI at scale

• Comfortable delivering executive-level demos and strategy sessions

• Strong negotiation and closing abilities, including contract and pricing strategy

• Deep familiarity with SaaS models, multi-year contracts, and expansion planning

• Advanced CRM, pipeline management, and forecasting capabilities

• Ability to manage a small number of high-impact accounts with precision and discipline

Attributes

• Confident, strategic, and credible with senior executives

• Results-obsessed with a strong sense of urgency and ownership

• Highly resilient and comfortable operating in ambiguity and long sales cycles

• Strategic thinker with the ability to execute at a tactical level

• Organized, disciplined, and detail-oriented with strong follow-through

• Curious, commercially sharp, and continuously improving

• Comfortable being the quarterback for large, cross-functional deal teams

• Polished, professional, and trusted both internally and externally

• Collaborative but fully capable of running complex deals independently

• Composed under pressure and able to keep momentum through setbacks

Position Overview

We are seeking a dynamic and results-driven Strategic Account Executive to focus on acquiring new customers and expanding our market presence in the mid-market segment. In this role, you will focus on helping organizations adopt and leverage our cutting-edge data, AI, and analytics platform to transform their business. You will own the entire sales cycle, from prospecting to closing, and work closely with technical and business stakeholders to deliver innovative, high-value solutions. This role is pivotal in driving revenue growth by identifying, targeting, and closing new business opportunities. The ideal candidate thrives on building relationships, navigating complex sales cycles, and delivering tailored solutions that address prospective clients' needs.

Key Responsibilities

• New Business Development: Proactively identify and pursue prospects and new business opportunities to secure new logos, expanding the company’s customer base.

• Solution Selling: Use a consultative approach to understand prospective clients’ business challenges and articulate the value of our platform in solving their data and AI needs.

• Executive Engagement: Build relationships with senior decision-makers, including CIOs, CTOs, and data and business leaders, to establish trust and influence decision-making.

• Pipeline Management: Build and manage a robust sales pipeline, ensuring consistent achievement of sales targets and KPIs.

• Prospecting & Outreach: Utilize various tools and strategies (e.g., cold outreach, networking, events) to engage potential customers and qualify leads.

• Consultative Selling: Understand prospective clients' unique challenges and objectives, delivering tailored solutions that demonstrate clear value and ROI.

• Sales Cycle Management: Manage the entire sales process, including prospecting, discovery, solution presentation, negotiation, and contract closing.

• Market Intelligence: Stay informed about industry trends, competitors, and market conditions to identify opportunities and position the company’s offerings effectively.

• Collaboration: Partner with marketing, product, and other internal teams to create compelling go-to-market strategies and ensure smooth onboarding for new clients.

• CRM Mastery: Maintain accurate records of prospect interactions, sales activities, and progress in CRM systems (e.g., Salesforce, HubSpot).

• Metrics & Reporting: Consistently achieve or exceed sales quotas and report on progress, pipeline, and forecast accuracy.

Qualifications

Location: Remote but with a high preference to candidates located within the NYC & Chicago metro area(s)

Experience
10+ years in sales or business development, with a proven track record of acquiring new clients, preferably selling SaaS, data, AI, or analytics solutions into the mid-market.

Education
Bachelor’s degree in business, marketing, or a related field; MBA is a plus.

Skills

• Strong prospecting and lead generation expertise, including cold calling, outbound email, LinkedIn/social selling, and event-based networking

• Experience managing high-velocity mid-market sales cycles from first touch to signed contract

• Ability to effectively qualify opportunities using structured methodologies (e.g., MEDDICC, BANT, or similar)

• Excellent communication and storytelling skills, with the ability to present to both technical and non-technical audiences

• Strong negotiation and objection-handling abilities

• Comfort running product demos and solution presentations independently

• Experience selling consultative, value-based solutions with clear ROI articulation

• Familiarity with SaaS business models, subscription-based pricing, and expansion/upsell strategies

• Strong working knowledge of CRM systems, pipeline management, forecasting, and reporting

• Ability to manage multiple deals in parallel while maintaining accuracy and speed

Attributes

• Highly motivated, target-driven professional who takes full ownership of outcomes

• Results-oriented with a healthy competitive edge and a bias for action

• Self-starter who thrives in autonomy and doesn’t need to be micromanaged

• Resilient and persistent — handles rejection without losing momentum or confidence

• Organized, detail-oriented, and disciplined in follow-through

• Curious, coachable, and always looking to improve performance

• Adaptable and flexible in evolving, high-growth environments

• Strong sense of accountability, professionalism, and integrity

• Collaborative team player who also knows how to run their own book of business

• Comfortable with ambiguity and able to make smart decisions with limited information

Who are we looking for? 

We are seeking a talented and experienced Backend Engineer (SDE – 2) to join our distributed team. In this role, you will be responsible for designing, developing, and maintaining scalable and secure backend systems. As a key contributor, you will collaborate with engineers, product managers, and stakeholders to ensure backend infrastructure delivers an exceptional user experience while maintaining high performance and reliability. 

Responsibilities: 

• Design, develop, and maintain backend services, focusing on performance, security, and scalability. 

• Proactively communicate with team members before starting implementation to align on goals, requirements, and potential challenges. 

• Build reusable, maintainable code and ensure backend systems are optimized for performance and efficiency. 

• Collaborate closely with frontend engineers to ensure backend systems align with product needs and contribute to a seamless user experience. 

• Work with product designers and managers during the design phase to review requirements, ask questions, and clarify any ambiguities, ensuring that the technical implementation supports the overall product vision. 

• Take ownership of backend architecture, suggesting improvements to enhance scalability, reliability, and code quality. 

• Break down complex technical issues into manageable tasks and milestones, ensuring timely delivery while maintaining high standards. 

• Write clean, testable code and participate in code reviews to maintain high-quality standards across the codebase. 

• Continuously monitor and improve system performance, addressing any bottlenecks and ensuring scalability. 

Requirements: 

• 3+ years of experience in backend development using any modern technology stack. 

• Strong expertise in backend development, including API design, database management, and cloud infrastructure. 

• Proactive in communication, ensuring alignment and clarity across team members before starting projects/features. 

• Strong problem-solving skills, with the ability to quickly grasp new concepts and apply them effectively. 

• Familiarity with testing, CI/CD pipelines, and version control tools. 

• Excellent collaboration and communication skills, with the ability to work effectively in a distributed team environment. 

Preferred: 

• Knowledge of Ruby on Rails or similar frameworks. 

• Understanding of the Multiwoven open-source project, including its architecture and key components. 

• Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines.
• Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness.
• Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way.
• Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions.
• Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production.
• Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment.
• Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
• Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.

• 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.
• Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred.
• Strong background in Python and ML frameworks such as PyTorch or TensorFlow.
• Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
• Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure).
• Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML.
• Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions.
• Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams.
• A proactive, self-starter mindset with a passion for applied research and innovation.

• Design, implement, and maintain ML deployment pipelines for scalable production systems.
• Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
• Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
• Partner with data scientists to transition models from research/prototype into production-ready deployments.
• Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
• Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
• Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
• Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.

• 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
• Proven experience deploying and maintaining machine learning models in production at scale.
• Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
• Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
• Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
• Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
• Strong understanding of MLOps best practices, monitoring, and automation.
• Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
• Strong communication and collaboration skills across technical and non-technical teams.

 Position Overview

We are seeking a skilled and proactive QA SDET – 2 to join our distribution team. This isn't your typical "just run the test cases" role. We need someone who can deeply understand our AI ecosystem, take ownership of quality across the product, and drive testing excellence through automation and first-principles thinking. You'll work autonomously in a remote environment, requiring strong self-direction, excellent communication, and genuine curiosity about both the product and the testing craft. 

 You will be responsible for 

• Design, develop, and maintain automated test suites with a goal of automating 80% of integration tests, ensuring comprehensive coverage and reliability. 

• Go beyond surface-level testing by truly grasping how our AI product works, the user journey, edge cases, and potential failure modes. 

• Identify quality risks early, surface issues before they reach production, and continuously improve our testing processes without waiting to be told. 

• Build reusable test frameworks and components using modern testing tools and best practices. 

• Break down complex testing challenges from the ground up, questioning assumptions and designing effective test strategies. 

• Produce clear video demonstrations of issues, test scenarios, and product features, along with well-structured documentation for test cases, automation frameworks, and quality processes. 

• Own the delivery of an entire software development test suites and framework 

• Work closely with cross-functional stakeholders to understand requirements, provide quality insights early in the development cycle, and ensure testability is built into features. 

• Articulate quality concerns, test results, and recommendations clearly in a remote environment through written updates, documentation, and team discussions. 

Requirements 

• 2+ years of experience in QA/SDET roles with a strong focus on test automation and integration testing 

• Proficiency in languages like JavaScript/TypeScript, Python, and Ruby for writing test automation 

• Experience with tools like Playwright, Selenium, Jest, or similar frameworks for frontend and API testing 

• Proven ability to design and implement comprehensive test strategies that cover complex user workflows 

• Ability to break down problems from fundamentals, question assumptions, and design effective testing approaches rather than following rote processes 

• Comfortable creating detailed documentation, test plans, bug reports, and asynchronous updates for a distributed team 

• Takes initiative to identify issues, improve processes, and learn new technologies without constant direction 

• Passion for understanding how things work, staying current with testing best practices, and diving deep into the AI/ML domain 

• Proven ability to work effectively in a distributed team environment with minimal supervision 

Position Overview

We’re looking for a results-driven Account Executive to grow our federal business and expand our footprint across U.S. government agencies. You’ll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement, building senior-level relationships, and closing complex, high-value deals. You’ll work closely with internal teams and partners to align solutions with agency priorities and deliver measurable impact.

If you thrive in complex environments and know how to turn government interest into signed contracts, this role was built for you.

Key Responsibilities

• Federal New Business Development: Identify, qualify, and close new logo opportunities across U.S. federal agencies (civilian, DoD, intelligence, or defense).

• Agency Engagement: Build and maintain relationships with key government stakeholders including program managers, contracting officers, CIOs, CTOs, and mission owners.

• Solution-Based Selling: Translate mission problems into compelling solutions using our AI and data platform. Show them the “why should I care” in 30 seconds or less.

• Pipeline Ownership: Build and manage a qualified federal pipeline, tracking everything from early-stage interest to funded opportunity.

• Procurement Navigation: Understand and operate within federal acquisition frameworks (FAR/DFARS, IDIQs, BPAs, GWACs, SBIR/STTR, etc.).

• Partner Strategy: Work with government integrators, resellers, and strategic partners to expand reach and accelerate deal flow.

• Proposal & RFP Support: Collaborate with internal teams on responses, pricing, positioning, and compliance elements for government bids.

• Market Intelligence: Track federal budget cycles, approved programs, agency priorities, and competitor positioning.

• CRM & Reporting: Maintain accurate activity, pipeline, and forecasting data in the CRM (Salesforce/HubSpot or equivalent).

• Revenue Performance: Consistently meet or exceed federal sales targets and defined KPIs.

Required Qualifications

• 10+ years in enterprise or federal sales, with direct experience selling into U.S. government agencies

• Proven track record of closing 6–7 figure federal deals

• Strong understanding of federal procurement processes and contract vehicles

• Existing relationships inside federal agencies, integrators, or primes

• Exceptional communication, negotiation, and executive presence

• Comfortable working complex, multi-stakeholder deals from concept to contract

• Experience selling AI, data, analytics, SaaS, or emerging tech into government

• Familiarity with DoD, IC, DHS, or civilian agency buying patterns

• Active clearance (or ability to obtain one)

• Experience working with partners like Booz, Lockheed, Accenture Federal, etc.

Attributes for Success

• Competitive and persistent without being annoying

• Comfortable operating in ambiguity and long timelines

• Highly organized and self-directed

• Strategic thinker who can also execute

• Takes ownership like it’s their company (because that’s how winners operate)