TECHNICAL PRODUCT MANAGER - SAAS - CCAAS - 100% Remote, US Based - $90,000 - $130,000

Our client is a dynamic and fast-growing contact center as a software (CCaaS) startup that has achieved remarkable year-over-year growth for the past three years. Our transformative software and applications cater to a diverse array of industries, primarily serving mid-market and small businesses with high call and text volumes. Our users include account managers, support representatives, sales development professionals, and marketers. With the ongoing revolution in AI chatbots, VOIP, and hybrid work models, the realm of SaaS for customer communication has never been more electrifying.

What you’ll be doing:

• Design, build, coordinate and ship new product developments

• Drive product outcomes for Aloware applications

• Part-time Solution Engineering with the new and some existing customers to develop strong solutions within the current product set and to receive continuous product feedback

• Lead work with customers, designers, developers, and cross-functional teams

• You will be a driving force in delivering top-tier products that are relied upon daily.

• This role empowers you with extensive autonomy to explore and innovate, contributing to the evolution of our products while adhering to high ethical and efficiency standards.

You’re our ideal candidate if you have...

• 1-3 years of experience in product management.

• 2-5 years of hands-on involvement in building and shipping products.

• Experience with solution engineering, consulting or similar tech-based implementations within the SDLC

• Profound familiarity with Agile Scrum best practices and protocols.

• Ability to influence multiple stakeholders without possessing direct authority.

• Exceptional communication skills, both written and verbal, enabling clear articulation of intricate technical issues to diverse non-technical audiences.

Important qualifications include:

• Experience in a fast-paced startup or a tightly-knit, motivated team setting.

• Proficiency in managing day-to-day technical and design direction.

• Adeptness in quantitative analysis and an analytical approach to troubleshooting.

• Exposure to shipping software across mobile, desktop, and web applications.

• Acquaintance with best practices in various functional areas, including Product Management, Engineering, UX/UI, Sales, Customer Support, Finance, and Marketing.

• Expertise in Product Management research methodologies, such as A/B testing, Multivariate testing, usability testing, click tracking, and beta testing.

• Understanding of modern web application design and development principles.

• Worked in each phase of the SDLC and can lead others through successful testing, training and delivery

• Workflow and Analytics tools: Intercom, Fullstory, Hubspot

• Data science and visualization tools: Metabase, SQL, Google Sheets

• Project management and collaboration tools: JIRA, Slack, Productboard, Guru, Miro, Figma, GitHub

• Background related to telecommunications, VOIP, digital messaging, chatbots, CRM, ticketing, helpdesk, or call center software as a service.

Nice to have skills

• Familiarity with diverse modern databases (Relational, NoSQL, etc.) and BI tools is advantageous.

• Application stack: Laravel, PHP, VueJS, MySQL, AWS

Benefits:

• Fully remote job,

• Competitive salary, 90k-110k salary

• 2 weeks PTO after 90 days

• Top-tier Health, Dental, and Vision benefits

• Multinational company
  

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Data Engineer - USA, Connecticut - $90,000 to $120,000

Data Engineer

USA, Connecticut

$90,000 to $120,000

Position Summary:

Reporting to the Associate Director, Information Technology, the Data Manager/Data Analytics is responsible for overseeing the development and use of company data systems and guaranteeing that all information to and from the company runs timely and securely. They will also effectively identify, analyze and translate business needs into technology and process solutions. This position can be based out of Westlake Village, CA/Marlborough, MA/Danbury, CT.

Principal Responsibilities:

• Works with other team members and business stakeholders to drive development of business analytics requirements.

• Leverages knowledge of business processes and data domain.

• Brings deep expertise in data visualization tools and techniques in translating business analytics needs into data visualization and semantic data access requirements.

• Works with various business units to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met.

• Leverages enterprise standard tools and platforms to visualize analytics insights, typically working with and/or leading a small team.

• Regularly monitor and evaluate information and data systems that could affect analytical results.

• Translate business needs to technical specifications

• Design, build and deploy BI solutions (e.g., reporting tools)

• Manage integration tools and data warehouse.  

• Manage and conduct data validation and troubleshooting

• Create visualizations and reports according to business requirements

• Monitoring and enhancing databases and related systems to optimize performance.

• Proactively addressing scalability and performance issues.

• Ensuring data quality and integrity while supporting large data sets.

• Debugging and resolving database reliability, integrity, and efficiency.

• As a member of the IT organization at MannKind Corp. the incumbent is also expected to be customer focused, a problem solver, a communicator, professional, willing to learn, organized and a team player.

• Duties and responsibilities are not limited to the work listed above and may include other assignments as necessary.

Education and Experience Qualifications:

• BS/BA Degree with minimum 3-5 years related experience in data management or analysis.

• 3+ years of experience with Relational Database Management Systems (RDBMS)

• 3+ years of Business Intelligence / Analytics related work experience in challenging environments

• Strong understanding of modern data modelling techniques

• Strong understanding of Cloud services providers (AWS, Google, Microsoft) and how to architect solutions around them

• Ability to decipher and organize large amounts of data.

• An analytical mindset with superb communication and problem-solving skills.

• Ability to translate complex problems clearly and in nontechnical terms.

• In-depth SQL programming knowledge - partitioning, indexing, performance tuning knowledge, stored procedure, views

• Hands-on experience in developing dashboards and data visualizations using BI tools (e.g.  PowerBI, Tableau)