PerformLine

• Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns • Work across Go or Python depending on what best serves the platform and the problem • Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner • Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards • Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development • Contribute to internal best practices for integrating deterministic logic with AI assisted workflows • Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS • Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’

Remote (US) ABOUT PERFORMLINE PerformLine is a leading provider of multi-channel marketing compliance technology for enterprises in highly regulated industries. The company's platform supports pre-publication review of marketing assets and post-publication monitoring across marketing channels including web, social, and email—helping organizations manage risk, ensure regulatory compliance, and protect their brands at scale. PerformLine is headquartered in Morristown, New Jersey, and serves clients across financial services and other regulated markets. Come as you are. We are an equal opportunity workplace celebrating diversity and committed to creating an inclusive and equitable experience for all. MISSION Our mission is to empower compliance leaders with the technology and knowledge to ensure their organization and partners provide transparent and accurate information to consumers across any channel. TL;DR Our Tech Team is looking for a Senior Software Engineer who is excited to build what is next. You'll help us bring AI powered features to life on AWS, expanding what our platform can do for customers and improving how our systems run every day! Think work similar to the recent AWS Blog Post about integrating Bedrock into real products. On our team, you'll take on projects that matter, with visibility across the company and the freedom to shape solutions. You will influence how we build, strengthen our engineering practices, and contribute to a positive team culture. At PerformLine you can expect to own your work, solve meaningful problems, and push innovation forward at a growing company. WHAT YOU’LL DO Be the Expert - Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns - Work across Go or Python depending on what best serves the platform and the problem - Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner - Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards - Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development - Contribute to internal best practices for integrating deterministic logic with AI assisted workflows Be a Force Multiplier - Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS - Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’ - Embrace having a large impact on team morale, culture, feedback, and even recruiting - Represent your engineering organization outside of the company WHO YOU ARE - Comfortable working in Go or Python without being anchored to a specific language - Quick to learn new AWS services, tools, or frameworks and apply them productively - Values clarity in distributed system design and thrives in environments where requirements evolve - Understands how to integrate AI capabilities into existing systems without compromising reliability - Balances experimentation with discipline and recognizes when simple solutions are better than clever ones - Approaches cloud architecture with a practical view of cost, performance, and security - Sees ambiguity as an opportunity to drive alignment and move work forward - Empathetic and collaborates with peers & stakeholders to deliver - Never operates with an adversarial attitude - Seeks out coaching and takes critical feedback well WHAT YOU BRING - Strong hands on experience building backend systems on AWS using services such as Lambda, ECS, SQS, SNS, DynamoDB, S3, API Gateway, and IAM - Experience writing production software in Go or Python and the ability to move between both - Familiarity with AWS Bedrock or other LLM platforms and how to integrate model calls into backend services - Experience instrumenting applications with observability tooling for metrics, logs, and traces - Practical knowledge of event driven architecture, asynchronous processing, and distributed debugging - Solid understanding of CI/CD workflows, deployment patterns, and version control using GitHub - Experience designing and evolving REST based APIs in production environments WHAT WE OFFER - Estimated base salary range $120,000 - 170,000 plus annual discretionary bonus. - Exact compensation for this role depends on a variety of factors, including experience, skills, internal equity, market data, and location. - To view our benefits package, visit the PerformLine Careers page! PerformLine participates in E-Verify This role requires work authorization without employer sponsorship

Role Description Our Tech Team is looking for a Senior Software Engineer who is excited to build what is next. You'll help us bring AI powered features to life on AWS, expanding what our platform can do for customers and improving how our systems run every day! On our team, you'll take on projects that matter, with visibility across the company and the freedom to shape solutions. You will influence how we build, strengthen our engineering practices, and contribute to a positive team culture. At PerformLine you can expect to own your work, solve meaningful problems, and push innovation forward at a growing company. What You’ll Do - Be the Expert - Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns. - Work across Go or Python depending on what best serves the platform and the problem. - Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner. - Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards. - Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development. - Contribute to internal best practices for integrating deterministic logic with AI assisted workflows. - Be a Force Multiplier - Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS. - Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’. - Embrace having a large impact on team morale, culture, feedback, and even recruiting. - Represent your engineering organization outside of the company. Qualifications - Comfortable working in Go or Python without being anchored to a specific language. - Quick to learn new AWS services, tools, or frameworks and apply them productively. - Values clarity in distributed system design and thrives in environments where requirements evolve. - Understands how to integrate AI capabilities into existing systems without compromising reliability. - Balances experimentation with discipline and recognizes when simple solutions are better than clever ones. - Approaches cloud architecture with a practical view of cost, performance, and security. - Sees ambiguity as an opportunity to drive alignment and move work forward. - Empathetic and collaborates with peers & stakeholders to deliver. - Never operates with an adversarial attitude. - Seeks out coaching and takes critical feedback well. Requirements - Strong hands on experience building backend systems on AWS using services such as Lambda, ECS, SQS, SNS, DynamoDB, S3, API Gateway, and IAM. - Experience writing production software in Go or Python and the ability to move between both. - Familiarity with AWS Bedrock or other LLM platforms and how to integrate model calls into backend services. - Experience instrumenting applications with observability tooling for metrics, logs, and traces. - Practical knowledge of event driven architecture, asynchronous processing, and distributed debugging. - Solid understanding of CI/CD workflows, deployment patterns, and version control using GitHub. - Experience designing and evolving REST based APIs in production environments. Benefits - Estimated base salary range $120,000 - 170,000 plus annual discretionary bonus. - Exact compensation for this role depends on a variety of factors, including experience, skills, internal equity, market data, and location. - To view our benefits package, visit the PerformLine Careers page!

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description PerformLine is looking for a Client Success Manager to join the team, servicing Enterprise customers. After you’re fully ramped up, you can expect to manage the ins and outs of a client's book of business, working alongside a Relationship Manager and closely with internal groups like product and technology. What You’ll Do - Own - Be the voice of the client - Address program questions and respond to product and feature change requests - Provide support and training of our PerformLine platform - Schedule, estimate, and provide status reports - Manage a full book of business - Engage - Develop a fast rapport with customers to set clear expectations and maintain customer satisfaction and engagement - Maintain regular interactions with customers via phone, email, and in person - Help clients launch new products and be a strategic partner in gathering feedback to help inform the future road map - Retain & Grow - Analyze program performance metrics and make optimization recommendations to ensure compliance management objectives are met - Review assets across all PerformLine channels to ensure appropriate rule creation, application and scoring - Proactive outreach to customers to ensure programs are running properly on an ongoing basis - Identify, work, and partner with the RM team to close up-sell and cross-sell opportunities and secure multi-year renewals Qualifications - Client-focused mindset with the ability to think strategically and collaborate internally - Hands-on experience with client interaction in a B2B space - Confident in ability to learn new technologies quickly and completely - Experience with and comfortable exploring ways to use AI to help create efficiency and positive outcomes - Organized, detail-oriented, and an expert at multitasking - Energetic, engaging personality - Self-motivated team player who is comfortable in a fast-paced environment - Positive can-do attitude with the ability to thrive amidst ambiguity as needed - Default to thoughtful, humble, empathetic, respectful, and calm communication Benefits - Estimated base salary range $70,000 - 98,000 plus commission. - Exact compensation for this role depends on a variety of factors, including experience, skills, internal equity, market data, and location. - To view our benefits package, visit the PerformLine Careers page!

• Lead the rebuild of our data stack with a modern Snowflake data lakehouse, architected for scale and performance on AWS • Design and implement best-in-class AWS data infrastructure using Terraform for provisioning, configuration, and automation • Influence data architecture, tooling choices, and long-term strategy, ensuring alignment with business and technology needs and growth plans • Build and optimize scalable ETL/ELT pipelines with AWS services, Python, and Airflow • Establish and enforce rigorous standards for data quality, observability, and governance, including access control, lineage, and compliance requirements • Prepare and evolve the data platform to support advanced analytics, AI, and machine learning use cases • Collaborate closely with Product, Engineering, and Customer Success to deliver reliable, trusted data for analytics and reporting