Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and applying data modeling techniques to support reliable data ingestion and exports. In this role you will collaborate with technology and business stakeholders to deliver data solutions that meet user needs. The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production.
• 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries).
• Experience with Microsoft SQL Server (preferred) or other relational databases, including query optimization and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Experience building data pipelines that are scalable and reliable, with attention to data quality, testing, and operational support.
• Experience contributing to data lake or lakehouse solutions to support analytics and downstream consumption.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

.Benefits

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

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

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

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

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

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

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

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

As an ideal candidate, you will have:

• 8+ years of pre-sales experience with enterprise software and technical aptitude
• Working knowledge and ability to code with one  or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) 
• Experience with scalable and highly available distributed systems 
• 2+ years of software development experience
• Excellent presentation and communication skills 
• The ability to travel up to 50%
• A Bachelor’s degree or equivalent work experience
• Professional proficiency in speaking and writing Portuguese and English 
• Professional proficiency in speaking and writing Spanish is highly preferred

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data modelling
• Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
• A cloud provider certification
• A MongoDB Certification 

What you do at MongoDB:

• You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB 
• You confidently articulate the business value of MongoDB solutions and bridge this to technical value
• You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You translate technical concepts and patterns into business benefits for management and executives 
• You act as a liaison, gathering feedback from the field to relay back to the Product Management team
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
• You have situational awareness and react appropriately in group settings

Particularly with Partners:

• You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
• You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
• You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
• You have a strong understanding of partner business model, value, and needs
• You demonstrate the ability to anticipate and respond appropriately to partner objections
• You are seen as a “Trusted Advisor” with technical partner stakeholders
• You team up to build joint proposals with partners for the client
• You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
• You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
• You create strategies that map specific industry trends to account base within local partner organizations
• You create strategies that map competitive threats within local partner organizations

What you will learn:

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273379214

The Team + The Role

The Enterprise Sales team at Pendo partners with some of the world’s largest organizations to improve and transform their digital experiences. The team operates in a fast-paced, collaborative environment and works closely with Solutions Engineering, Customer Success, Legal, Product, and executive leadership to drive meaningful business outcomes. Enterprise Sales values clear execution, strong partnership, and disciplined sales practices to win complex enterprise opportunities.

As an Account Director, Enterprise Sales, you will lead complex enterprise deals and own multi-stakeholder sales cycles with organizations of 1,500+ employees. You will build executive relationships, develop multi-year account strategies, generate high-quality pipeline, and apply MEDDPICC and Force Management principles to drive forecast accuracy and long-term customer value.

This is a remote role based in the TOLA Region.

What this looks like day-to-day

• Enterprise deal leadership: Act as the internal lead for complex enterprise opportunities, coordinating cross-functional partners across Solutions Engineering, Customer Success, Legal, Product, and executive leadership. You keep the team aligned, the deal strategy clear, and the process moving with urgency and discipline.
• Executive relationship building: Build and maintain strong relationships across the C-suite, IT, and business leadership within organizations of 1,500+ employees. You understand stakeholder priorities and connect Pendo’s value to meaningful business outcomes.
• Value-based selling: Lead sales cycles focused on solving meaningful business problems and supporting digital transformation initiatives. You shape the value narrative, guide customers through complex decisions, and position Pendo as a strategic partner.
• Sales methodology and forecasting: Apply MEDDPICC and Force Management principles to manage complex, multi-stakeholder sales cycles. You maintain strong deal hygiene, identify risk early, and support accurate forecasting.
• Account strategy and expansion: Develop and execute multi-year account strategies that expand Pendo’s presence within enterprise customers. You identify growth opportunities, prioritize high-impact activities, and build plans that deliver long-term customer value.
• Pipeline generation: Consistently generate and maintain a high-quality pipeline through proactive prospecting and account development. You take ownership of pipeline health and create opportunities through disciplined, strategic outreach.
• AI-enabled productivity: Use AI tools and insights to improve sales preparation, productivity, and customer engagement. You look for practical ways to work faster, communicate more effectively, and make better decisions in a fast-moving environment.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Account Directors don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Proven track record of success in enterprise software sales, including SaaS or application software, selling into organizations with 1,500+ employees.
• Experience using MEDDPICC and/or Force Management to manage complex, multi-stakeholder sales cycles.
• Demonstrated ability to generate pipeline independently through strategic prospecting and account development.
• Experience leading cross-functional deal teams across Solutions Engineering, Legal, Customer Success, and executive stakeholders to close enterprise agreements.
• Comfort using AI tools to improve sales efficiency, preparation, and customer engagement.

Nice-to-haves

• Experience working in a startup or high-growth environment where you navigated ambiguity and built new processes or approaches.
• Success selling emerging or innovative technologies that required educating the market and shaping the value narrative.
• A track record of perseverance and resilience in professional or personal pursuits.
• Demonstrated ability to mentor peers and contribute to the overall development of the sales organization.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected On-Target Earnings (OTE) range for this role is $280K-$320K, with a 50/50 base-to-variable compensation split.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

As a Software Engineer – Data Pipelines / ETL / MLOps you will be responsible for;

We are looking for a Software Engineer with strong experience in data engineering and machine learning operations. This role will focus on building and maintaining scalable data pipelines and supporting ML systems in production.

• Design and implement scalable data pipelines and ETL workflows
• Develop and optimize SQL queries and data models
• Build and maintain MLOps infrastructure (model deployment, monitoring, retraining)
• Ensure data quality, reliability, and performance
• Collaborate with data scientists and engineers to productionize ML models
• Manage large datasets across distributed systems

Qualifications;

• 3–6 years of experience in data engineering or backend development
• Strong SQL and ETL pipeline experience
• Experience with tools like Airflow, Spark, or Kafka
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow)
• Proficiency in Python or Scala
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift)

Salary Range: $90,000 – $130,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

The Team + The Role

Pendo’s Sales team is continuing to expand into Latin America after early success in the region. The team partners with Business Development Representatives, Sales Engineers, and cross-functional partners to acquire new enterprise customers and grow Pendo’s footprint across LATAM markets excluding Brazil.

The Sr. Account Executive (LATAM) will lead end-to-end enterprise software sales cycles across Latin America, from self-led prospecting and lead generation through demo, proof of concept, negotiation, and close. This role owns net-new account acquisition, customer relationship management, territory planning, and deal execution in a remote role based in Texas.

This is a remote role based in Austin, TX or Dallas, TX.

What this looks like day-to-day

• Full-cycle enterprise sales: Drive the end-to-end sales lifecycle for B2B enterprise software deals across LATAM excluding Brazil. Own the process from self-led prospecting and lead generation through demo, negotiation, and close.
• Product demonstrations: Master the Pendo platform to conduct high-impact product demonstrations. Manage evaluations and proof-of-concept processes that are tied to specific customer business outcomes.
• Territory development: Research and target new business opportunities using modern prospecting tools. Build and maintain a robust account priority plan that supports territory goals.
• Deal negotiation: Navigate complex negotiations, including contract reviews and legal terms. Collaborate with internal partners to move deals forward with discipline and accuracy.
• Value discovery: Lead deep value discovery to uncover customer needs and strategic priorities. Align Pendo’s solutions to business outcomes in a way that resonates with enterprise buyers.
• Cross-functional partnership: Partner with Business Development Representatives, Sales Engineers, and other internal teams to support successful deal execution. Bring a startup mentality and entrepreneurial mindset to help the team scale in the LATAM market.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. Account Executives don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Fluent Spanish and English communication skills, including verbal and written fluency in a professional environment.
• 3 years of prior sales and closing experience in a B2B SaaS environment.
• 2+ years of experience selling into Spanish LATAM at the enterprise level.
• Demonstrated consistent track record of goal attainment.
• Understanding of SaaS financial metrics and how they connect to customer value and sales execution.
• Ability to travel up to 25% within the region and for company-wide events.

Nice-to-haves

• Training with MEDDICC and Force Management.
• Willingness to learn in a fast-paced sales environment.
• Ability to embrace feedback and hold yourself accountable.
• Strong business acumen.
• Curiosity, drive, and a growth mentality.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected on-target-earnings (OTE) range for this role to be performed in the United States is $280,000 - $300,000 OTE with a 50/50 base-to-variable split.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

🚀 Join Varicent as a Regional Sales Manager!
Moving at our pace means embracing change, complexity, and ambiguity — and Varicenters don’t just handle it… we thrive in it. Before you apply, ask yourself if you’re someone who:

✨ Pursues hyper‑growth — professionally and personally
🌍 Respects and values diverse backgrounds and perspectives
💪 Stays resilient, resourceful, and energized in fast‑moving environments
🧠 Brings strong opinions, critical thinking, and embraces healthy debate to move work forward

At Varicent, we believe everyone has a unique story — and those differences fuel our innovation. When bright, diverse minds come together, we challenge assumptions, spark creativity, and build better solutions for our global customers.

🌟 About the Role
As an Account Executive (Regional Sales Manager), you’ll be a key player on our global sales team. Varicent solves the #1 challenge for every CEO: Inspiring Performance. Our industry‑leading Sales Performance Management platform helps organizations increase revenue, optimize compensation, and elevate employee engagement.

We’re looking for a resourceful, driven, results‑oriented enterprise sales pro who’s ready to shape strategy, influence outcomes, and make a measurable impact. You’ll collaborate closely with Sales Leadership, partner cross‑functionally, and help scale a winning sales engine.

🎯 What You’ll Do
• Build and execute a high‑impact prospecting strategy with Business Development
• Identify ideal customers across your region
• Develop strategic sales plans with Sales Leadership
• Lead successful sales campaigns that deeply understand customer needs
• Manage pricing and contract negotiations with Varicent leadership and clients

🧩 What You Bring
• Bachelor’s degree or equivalent experience (preferred)
• 5+ years of proven enterprise software sales experience with quota‑carrying success
• Strong track record selling to C‑suite leaders in SaaS environments
• Confidence managing high‑volume pipelines in fast‑changing conditions
• Curiosity and interest in ICM, CRM, and SaaS — you’ll quickly become a subject‑matter expert
• Hustle, grit, entrepreneurial drive, customer obsession, and deep sales expertise

🏆 Your Success Journey
⭐ Within 1 Month
• Complete Varicent Sales Bootcamp — learn our GTM messaging, differentiators, and value props
• Meet with Enterprise AEs to gather insights and best practices
• Begin building your account strategy with your Manager

⭐ Within 3 Months
• Own your numbers — consistently hit activity and conversation goals
• Become a Varicent product expert and articulate the value of ICM
• Leverage partner relationships with ISVs/GSIs

⭐ Within 6 Months
• Continue hitting your activity and pipeline goals consistently

⭐ Within 12 Months
• Exceed your business goals and quota
• Develop a strong understanding of the SPM landscape and customer challenges
• Consider yourself a true product expert in the SPM space

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

SLSQ227R758

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

Who You’ll Be Working With

At PMG, we’re redefining what’s possible in digital marketing through Alli, our cloud-based suite of AI-powered tools. Alli has helped deliver ads to over 1 billion consumers in 80+ countries, driving meaningful results for some of the world’s most recognized brands. As an AI & Software Engineering Manager, you’ll lead a team of talented engineers focused on solving complex challenges, developing AI-driven solutions, and shaping the technology stack that powers Alli’s Actions, Data, or Insights pillars.

This isn’t just a leadership role—it’s an opportunity to influence the future of AI-powered marketing, drive real impact for our clients, and mentor engineers as they build groundbreaking solutions. You’ll collaborate closely with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. If you’re passionate about AI, love tackling big challenges, and thrive in a fast-moving, supportive environment, this is the place for you.

What You’ll Be Doing

• Lead and mentor a high-performing team of engineers, fostering career growth and technical excellence.
• Work in a collaborative, fast-moving environment, where ideas turn into impactful solutions quickly.
• Define and drive the technical vision and roadmap for Alli’s AI-powered solutions, ensuring scalability, reliability, and long-term success.
• Design, develop, and deploy cutting-edge AI-driven features that help brands make smarter marketing decisions.
• Partner with Product Managers, Designers, and cross-functional teams to integrate AI solutions that enhance performance and drive measurable results.
• Guide the team in best practices for clean code, automated testing, version control, and scalable architecture.
• Conduct code reviews, debugging, and testing, ensuring high-quality, maintainable code.
• Stay ahead of emerging AI and machine learning technologies, championing innovation that shapes the future of marketing technology.

What You Will Bring

• 5+ years of software development experience with object-oriented programming, delivering scalable and maintainable solutions with a Bachelor’s or Master’s degree in Computer Science or Computer Engineering or related experience.
• 2+ years leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth
• 2+ years of experience with AWS or other cloud platforms, including deploying and managing applications in cloud environments.
• Proven ability to balance hands-on development with leadership responsibilities, ensuring team success.
• Strong expertise in RESTful API design, system architecture, and SOLID engineering principles.
• Proficiency in backend and frontend technologies, including Python, JavaScript (Node.js, React), and Go.
• Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to ensure reliability and efficiency.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management.
• Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes.
• Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives.
• A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement.
• Experience in digital marketing or advertising technology and its intersection with engineering solutions.
• Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka.
• 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.
• Provide technical guidance and strategic insights to client teams, leveraging expertise in media, technology, and emerging trends.
• Strong proficiency in SQL, Python, and other relevant programming languages for data manipulation, analysis, and process automation.
• Experience in a client-facing role, providing both technical advice and strategic insights to help clients achieve their goals

Nice To Have Qualifications

• Interest or familiarity working in the Digital Marketing industry
• AWS Solutions Architect - Professional certification
• Prior experience working with Large Language Models (LLMs)
• Familiarity with Infrastructure-as-Code tools like Terraform
• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Business Intelligence & Data Analyst

Location: Hybrid
Type: Full-Time
Reports to: Director of Business Intelligence

We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions.

About MyFundedFutures

MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed.

Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data.

What You'll Be Doing

Data & Reporting

• Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support.
• Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business.
• Build scalable data models using star schema and fact/dimension design principles.
• Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics.

Analysis & Insights

• Analyze trader behavior, including success rates, churn, risk signals, and anomalies.
• Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews.
• Identify early warning signals in risk and operational data before they become larger issues.

Cross-Functional Partnership

• Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights.
• Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why.

What We're Looking For

Required

• 3-5 years of experience in business intelligence, data analytics, or a related field.
• Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning.
• Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting.
• Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation.
• Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures.
• Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks.
• Experience integrating data from APIs, webhooks, or third-party SaaS platforms.
  
  

Nice to Have

• Experience in capital markets, futures trading, prop firms, or brokerage operations.
• Familiarity with drawdowns, leverage, volatility, and liquidation concepts.
• Experience working with financial time-series data.
• Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves.

How You Work

• You translate complex data into clear, practical narratives for non-technical stakeholders.
• You work autonomously and are comfortable taking initiative in a fast-moving environment.
• You bring a strong sense of ownership and follow through on problems from identification to resolution.
• You are comfortable operating in ambiguity and can create structure when priorities are evolving.
• You think critically and creatively, challenge assumptions, and look for better ways to solve problems.

Why MFF

• Help shape how a high-growth trading firm makes decisions.
• Work alongside experienced operators from capital markets, fintech, and trading technology.
• Flexible work environment focused on outcomes and impact.
• Competitive compensation and meaningful room to grow as the company scales.

SLSQ227R344

Candidates in the listed location(s) are encouraged for this role

• Remote - Dallas 
• Remote-Atlanta

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs).  You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for: 

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

P-1398

Note: this is a hybrid role and requires ~3 days in the office in Plano, Tx.

Mission 

As a Staff Data & AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data & AI technical solutions for any issues reported by customers - including deep diving into production data pipelines, AI workflows, streaming data ingestion, and more.  You have deep expertise in Data & AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s. You collaborate effectively with other teams, such as product engineering and customer account teams, to deliver results for customers, especially during critical production downtime situations. You provide customers with the guidance, knowledge, and expertise to build performant architectures and reliable services to achieve their strategic objectives using Databricks’ platform. Reporting to a TSE manager, you are a technical expert within a world-class global support engineering organization, recognized for your leadership, technical depth, and ability to troubleshoot even the most complex customer situations.

The impact you will have: 

• Be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers, including escalated and critical scenarios.
• Deep Dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Serve as a customer support advisor - be able to diffuse escalations during incidents directly with customer stakeholders, quickly find mitigations and solutions for advanced use cases, and be strategic at helping prevent future customer issues.   
• Help make the Databricks products simpler to use and customer production environments more stable, such as by influencing Engineering and Backline Support teams to identify areas for product improvements. 
• Be known as a deep technical expert and leader in the Databricks platform and productionizing systems, and mentor others in those areas to spread your knowledge.

What we look for:  

• Minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines. Relevant past Spark experience is mandatory.
• Expertise in SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
• 5 years of hands-on experience in developing two or more Big Data technologies, such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
• Around 3 years of hands-on experience as a technical lead on a Data & AI Engineering team, serving as the go-to person to resolve critical issues.
• Prior Support or customer-facing experience is not required for this role, but proven ability to influence cross-functionally is, such as with internal stakeholders or engineering teams.
• Preferably: Hands-on experience with public cloud (AWS, Azure, or GCP).
• Technical degree or Bachelor's Degree in Computer Science or related field/experience.

U.S. Citizenship Requirement

In order to comply with the U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.

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.

P-343 - This role is hybrid with 3 days in our Plano office.

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidate must possess excellent English written and oral communication skills.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.

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 

Key Responsibilities

Skills, Knowledge and Expertise

Preferred Skills

Key Responsibilities

Skills, Knowledge and Expertise

Burson Creative:

You’ll be joining a creative team that’s been recognized with Cannes Lions, Clios, One Show, New York Festivals, SABER, and PRWeek awards, but more importantly, a team that’s curious, collaborative, and constantly pushing each other to do work that earns attention.

The Creative team works across the full Burson client roster to ideate, develop, and produce earned-first campaigns, building original ideas that cut through culture not just the noise. Our work connects people and brands by digging deeper, imagining more, and creating campaigns and content designed to live anywhere and travel everywhere. 

We’ve intentionally brought together a mix of designers, writers, producers, and creators from different backgrounds, cultures, and points of view, because better work comes from diverse voices challenging each other.

We’re looking for people who love what they do, value different perspectives, and are excited to roll up their sleeves to help push our creative even further.

Check out our latest work here. https://www.bursonglobal.com/locations/us/creative-careers-at-burson-us

Senior Creative

We’re looking for a Senior Creative who lives at the center of culture—someone who refreshes Versus, Hypebeast, Complex and niche corners of the internet like it’s email, and pulls inspiration from everywhere: music, fashion, internet culture, sport, and everything in between.

You’re a culture-obsessed tastemaker with range. You move fluidly between sport, music, fashion, and subcultures, understanding how moments spark, spread, and evolve. You don’t just clock trends—you see them forming early and know how to shape them into ideas people actually care about.

Crucially, you’re earned first. You know how to turn cultural tension into moments that earn headlines with an angle, a stunt, a social series, a brand act, etc. that gets picked up by press, creators and fans—not just pushed out as an ad.

You’re a conceptual thinker first, with the craft to bring ideas to life. Whether through art direction, writing, or both, you know how to build a world, name it, and express it across formats—from social to IRL to everything in between.

If you live for big ideas, big drops, big games, big stories, this is your lane.

What you'll do:

Concept & Craft

• Build big, integrated, earned first ideas
  From campaign platforms to activations to buzzy content series’, you’ll connect big ideas to culture with visuals and/or narratives that feel native to fans and newsworthy to editors.
• Drive stories in earned and social
  Develop ideas designed to travel through headlines, creators, fan pages and social feeds, not just paid media, starting with the question: what’s the headline, what’s the moment people will share?
• Own the story and the look
  Define the creative world for our clients: tone of voice, visual language, references, and how it flexes across social, digital, PR, broadcast, OOH and experiential. You know what will actually move fans, not just tick boxes.
• Trendjack with taste
  Spot cultural tensions, narratives and live moments in music, sports, and wider culture where brands can genuinely show up—and turn them into sharp, timely concepts and executions.
• Pitch like you mean it
  Sell ideas in a way that gets clients hyped: sharp decks, strong rationale, clear links to fandom, culture and earned impact. You can talk kit culture, collabs, drops and highlight reels with equal confidence.
• Ship with taste and precision
  Drive work from sketch to launch—across film, design, social and experiential—protecting the idea, the craft and the details (copy, visuals, rights, legal) all the way through.
• Chase work that wins
  Create award-worthy projects end to end, turning raw fan insight and cultural tension into ideas that blow up in culture and land on juries’ shortlists.

Sport, Culture & Influence

• Be the in-house culture brain
  Bring a deep understanding of how culture moves across platforms and communities—from music and fashion to sport, gaming and internet subcultures. You know how audiences show up, what they care about, and what’s coming next.
• Live the feeds
  Constantly mine platforms like Versus, Hypebeast, Complex, TikTok, Reddit, IG fan pages and emerging spaces for signals, storylines and opportunities for brands to plug into in ways that feel real.

Leadership & Mentorship

• Be a true creative partner
  Act as a key creative lead on one or more accounts, plugged into client challenges, fan behavior and the sport and culture landscape—helping shape briefs, not just answer them.
• Help grow the agency
  Bring the same energy to pitches and organic growth that you bring to campaigns: spot opportunities, jump on them, and help win new work with ideas that feel right for fans and right for the brand.
• Raise the creative bar
  Lead initiatives that level up the agency’s creative reputation—sharing references, pushing craft, and championing ideas that belong in culture, not just in decks.
• Inspire the room
  Bring energy, taste and a positive, no ego attitude that lifts teammates, collaborators and clients. You make the work better and the process more fun.
• Develop the squad
  Manage and mentor junior creatives and freelancers, giving clear direction and useful feedback. Work tightly with strategy, account and production to land joined up, earned ready, impossible to ignore ideas.

Experience that contributes to success:

• 5+ years in the game
  Experience in a creative role at an agency, in house, or anywhere that contributes to a portfolio that proves you can think and execute at a high level.
• Culture-first, with a point of view
  A deep, demonstrable obsession with culture in all its forms—sport, music, fashion, entertainment and beyond. You understand how audiences move, how trends take shape, and how to translate that into sharp, brand-right ideas.
• Dual threat portfolioWork that shows you have an appreciation for both:
  • Visual craft: design, photography direction, film, social/digital experiences.
  • Word craft:  scripts, social content, conceptual storytelling, impactful lines and platform thinking. Ideally with multiple pieces showing off your love for culture.
• Earned first mindset: Examples of ideas built to earn—PR stunts, cultural activations, social moments, partnerships or drops that generated real coverage, conversation and fan engagement.
• Conceptual Thinker: Proven ability to develop strategic and innovative concepts that not only solve business challenges but specifically leverage and reflect the dynamic relationship between music, sports, and wider pop culture trends.
• Communication Master: Excellent presentation, communication, and interpersonal skills, capable of articulating a creative vision to diverse audiences.
• Production Savvy: Experience guiding projects through all phases of production, understanding the nuances of visual and written content creation.
• Team Player: A collaborative spirit with the ability to work effectively across disciplines and inspire those around you.

#LI-FB1

Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

STRONG Pilates- Campus Brand Ambassador

About STRONG 

We are STRONG, a Pilates-inspired, cardio-infused experience built for the modern athlete. Low impact, high intensity, all power. Born in Australia and now expanding rapidly across the U.S., STRONG is the evolution of Pilates. Our signature ROW. RIDE. REFORM. classes fuse Pilates precision with heart-pumping cardio, delivered on our world-first Rowformer and Bikeformer machines — all in a powerful 45-minute full-body session designed to strengthen, sculpt, and perform. With 100+ studios opening nationwide, including New York, Chicago, Boston, Los Angeles, Dallas, Houston, and beyond, STRONG is transforming the fitness landscape one studio at a time.

Role Overview

As a STRONG Pilates Campus Ambassador, you are more than a voice. You are the movement on campus. You’ll bring the STRONG experience directly into your university community, building authentic connections, generating buzz, and turning curiosity into committed members. Your mission is to spark awareness, drive student traffic to the studio, and cultivate a loyal campus community that doesn’t just try STRONG, they stay STRONG. This role is designed for natural connectors and culture-shapers — students who are passionate about fitness, energized by social engagement, and excited to introduce their peers to something powerful, elevated, and results-driven.

Key Responsibilities

Brand Awareness & On-Campus Presence

• Serve as a confident and authentic voice for STRONG Pilates within your university community
• Create visibility for the brand by actively engaging peers, student organizations, and campus events
• Generate excitement around STRONG studios, class formats, and special programs
• Communicate what sets STRONG apart — from the workout experience to the results-driven community
• Spark conversations that turn curiosity into studio visits and long-term membership

Member Growth & Retention Support

• Encourage classmates to try STRONG and continue returning
• Support participation in studio challenges, programs, and community initiatives
• Help nurture long-term loyalty beyond one-time visits

Community Building

• Act as a connector between your campus and STRONG
• Build relationships with student groups, athletics, wellness programs, and campus leaders
• Support and participate in studio events when possible

Social Media & Digital Promotion

• Share STRONG content authentically
• Create campus-relevant content such as stories, reels, testimonials, and invitations
• Promote offers, challenges, and studio updates
• Encourage others to tag and share their STRONG experience

Outreach & Partnerships

• Help identify student partnership and collaboration opportunities
• Support pop-ups, student nights, collaborations, and giveaways

Communication & Reporting

• Provide brief weekly updates on outreach and engagement
• Work collaboratively with studio and leadership teams

What we’re looking for

• Is currently enrolled at a university or college
• Is confident, outgoing, and genuinely enjoys connecting with new people
• Is actively involved in campus life — whether through clubs, athletics, leadership roles, or student organizations
• Has a passion for fitness, wellness, and building community
• Is dependable, proactive, organized, and motivated by results
• Has experience in marketing, promotions, social media, or event coordination (a plus, but not required)

What success looks like

• Increased student awareness of the STRONG brand
• Growth in student visits and consistent attendance
• Strong engagement in events and challenges
• Create momentum on campus, with STRONG becoming a go-to name in student fitness

What You’ll Get

• Complimentary or discounted STRONG Pilates classes
• Real-world experience in marketing, community building, events, and brand leadership
• Resume-worthy experience with a global fitness brand

Time Commitment

• Approximately 3–6 hours per week
• Flexible around university schedules and commitments

Momentic Studios is proud to be an equal opportunity employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veteran status, or any other basis protected by law. 

LRK is a nationally recognized design firm built around a team of architects, designers, and planners. LRK is seeking a talented and motivated individual to join our Planning and Urban Design Studio, which works across our five regional locations – Dallas, Memphis, New Orleans, Orlando, and Philadelphia. This posting is for our Dallas office.

The mission of our Planning & Urban Design Studio is to:

•    collaboratively create enduring, meaningful, and functional places for all,
•    positively impact daily lives through holistic design taking care to respond to the unique qualities of each place, and 
•    spark imagination and inspire stewardship for present and future generations at the neighborhood, community, and regional scales. 

The Urban Designer will work collaboratively with project and consultant teams to develop creative solutions that focus on placemaking and sustainability. Responsibilities include:

•    Producing 2D/3D conceptual drawings.
•    Assisting in the development of Vision Books, Site and Community-level Master Plans, Design Guidelines, Form-Based Codes, and Implementation Strategies.
•    Participating in Stakeholder/Community Engagement and the Charrette Process.

The ideal candidate should have 0-3 years of professional experience and hold a BArch or MArch degree, with a preference for those who also have experience or a Graduate Degree in Planning or Urban Design. Problem solving and effective communication skills through drawing, writing, and speaking are essential for this position.

For more information on LRK, please visit www.lrk.com.

Equal Opportunity Employer

Location: Irving, TX (hybrid) 
Department: Sales | Reports To: Business Development Director 

Why You’ll Thrive Here 

At Caliber, results start with relationships—and that’s your superpower. As a Business Development Consultant, you'll jump into the hustle and build deep, trusting connections with healthcare leaders. Your drive, grit, and tenacity will directly fuel business growth, and you’ll be the linchpin of momentum. 

What You'll Own & Achieve 

• Be the spark: Hunt and win new business through phone, text, email, social, and face-to-face at industry conferences. You're not just reaching out—you’re igniting growth. 

• Never stop pushing: Crush daily, weekly, and monthly goals in activity, pipeline, gross profit, and revenue. Hustle is in your DNA. 

• Own your book of business: Use sharp strategy and relentless energy to target and engage hospitals, outpatient facilities, and health systems across specialties. 

• Become the go-to advisor—clearly understand staffing gaps (e.g., burnout, turnover, retirement), position Caliber’s unique value, and win key partnerships by building high-impact narratives. 

• Pipeline perfectionist: Manage your sales funnel with discipline—accurate forecasting, strategic account plans, and CRM mastery. 

• Cross-functional collaborator: Rally marketing, finance, recruitment, specialty teams, and more to deliver flawless execution and client satisfaction. 

• Negotiate like a pro: Push deals forward with strong, confident negotiation within guidelines. 

• Stay agile, stay winning: Adapt quickly to shifting priorities and tight timelines—while staying organized, responsive, and goal-focused. 

What You Bring to the Table 

• A BA or BS and 3–5 years of sales experience, with at least 2 years of direct selling.  

• Relentless energy for a fast-moving, performance-driven environment. 

• Executive presence and persuasive sales acumen—you're a master at building and scaling C-level relationships. 

• Hunter’s heart, advisor’s brain: You both land new business and strengthen long-term partnerships. 

• Exceptional communicator—clear, strategic storytelling across all channels (phone, email, in-person, CRM). 

• Process-driven with hustle: Detail-oriented, deadlines don’t scare you, multi-tasking is your norm, and you're highly autonomous. 

• Willingness to travel (5–10% annually) when needed to close deals. 

Why Caliber? 

• High-growth, high-energy culture: You’ll thrive in an environment fueled by ambitious targets, fast pace, and constant momentum.  

• Meaningful Impact: Your work makes a real difference—leading to better care for providers and patients alike. 

• Relationship-first ethos: We believe that "results start with relationships"—and that’s our shared belief and your daily edge.  

• Rewards for the go-getter: Competitive pay, hybrid flexibility, and complete support to chase your next big win.  

• Aligned with purpose: You’re not just selling—you’re helping providers navigate burnout and staffing challenges through purposeful solutions.  

Ready to Hustle? 

If you're excited to lead with relationships, think big, and move fast—let’s talk. You’ll join a team that values high performance, meaningful outcomes, and the drive to win.