Make People Sleep

It’s an audacious, incredibly rewarding mission that our increasingly diverse team is dedicated to achieving.

SOHO is built around the idea that everyone should be able to take the perfect nap and a blissful sleep.

Guided by our four core values, we’ll meet these challenges creatively and with the support of our global community. Join us!

OPPORTUNITIES

Responsibilities:

  • Design creative solutions to drive guest growth in India market
  • Craft elegant flows, smooth interactions, and lovable experiences across platforms
  • Envision long-term solutions and break down to shippable milestones
  • Partner with Product Managers, Engineers, Operations Specialists, Data Scientists, Researchers and UX Writers to define problems & goals, map user flows, prototype interactions, and launch new products and services
  • Give and solicit feedback from designers and cross-disciplinary partners
  • Executive in a fast-paced environment with ambiguity

Requirements:

  • 3-8 years of experience with end-to-end product design
  • Bar-setting craft skills and trend-leading aesthetic taste
  • Excellent UX/UI skills, solid lo-fi & hi-fi prototyping skills
  • Diverse graphic capabilities is a plus (basic illustration & motion skills)
  • Have cross-platform design experiences (iOS, Android, Mini-App, Web, H5 etc.)
  • Open-minded visionary full of fresh & creative ideas
  • Problem solver with a systematic, long-term mindset
  • Excellent communication skills, good storyteller
  • Basic analytical skills, have practiced data-informed design
  • Good team player, have worked with cross-functional teams
  • Have shipped effective products, preferably growth / event-based products

India is one of the largest and fastest growing travel markets and a critical piece to SOHO’s mission. Here we want to build a localized product team that best serves Indian users and market, enabling everyone to truly “SLEEP”.

We are now looking for talented software engineers to join the team, to help us build a strong and fast feedback loop, and adapt our products according to local needs. You will have the chance to thrive on a global platform empowered by deep and localized innovations while building a unique experience for Indian users.

Responsibilities:

  • Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive SOHO business growth and improve the product experience.
  • Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
  • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
  • Understand and influence logging to support our data flow, architecting logging best practices where needed
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Improve data quality by using & improving internal tools to automatically detect issues

 

Minimum Requirements:

  • 5+ years of relevant industry experience
  • Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Working knowledge of relational databases and query authoring (SQL).
  • Excellent communication skills, both written and verbal

Responsibilities

  • Deeply understand the need for data and machine learning and how it can be applied intelligently for CS within SOHO
  • Drive product and technical requirements, strategy and end results for data collection, processing, publishing, pipelining, and ML models within SOHO
  • Keep up with cutting edge technologies, (especially open source projects) and new technological and machine learning innovation that can potentially be applied to SOHO CS use-cases
  • Define and drive technical product scope and prioritization and be flexible to iterate/change per latest developments to meet agreed upon deadlines and business needs
  • Maintain product backlog, drive product roadmap and own prioritization process of CS data product solutions based on business value and customer impact
  • Demonstrate ability to translate business requirements and work with various levels of business stakeholders to create innovative scalable solutions
  • Define the success metrics and SLAs by partnering with other cross functional leaders in Support Products while keeping it up to date and relevant
  • Evaluate new product opportunities (both buy and build solutions) and bring forward proposals and influence to expand product and business capabilities with data and intelligent automation at the forefront 
  • Leverage and instrument data-driven experimentation and measurement frameworks to track and report product success or lack of thereof
  • Work closely with all business, ops, and product stakeholders to ensure successful end-to-end delivery of data and ML products
  • Work closely and collaboratively with CS operations and engineering teams to ensure reliable operations and SLAs are met or exceeded  
  • Create data strategies and programs for the long-term success of business teams and ensure engineering teams are positioned to deliver results
  • Present overall product roadmap status to the business and Support Products leadership on an ongoing basis
  • Closely coordinate cross-functional global operations, Support Products, and IT teams to ensure close alignment, clear dependencies, and streamlined execution.
  • Develop key interdependent roadmap sequencing and plans in support of Support Product leadership

Qualifications

  • 10+ years experience in Product, Technical Program or Project Management, or similar role leading a cross-functional technical team
    BA/BS degree is required. Concentration in Computer Science or a related technical discipline is preferred
  • 3+ years of technical product management
  • Exceptional collaboration, partnership and influencing skills with the ability to work in a global environment across multiple locations and time zones to drive consensus in cross-functional teams
  • Demonstrated interpersonal skills to interface well with ops and business partners at all levels
  • Outstanding written and verbal communication ability to a diverse stakeholder audience, including a global team of C-level executives, product, and technical stakeholders
  • Strong customer engagement and relationship management skills
  • More than comfortable in an ambiguous matrixed organization
  • Strategic platform and system thinker who can balance big picture strategy with detailed, flawless execution
  • Creativity and ability to work independently with limited guidance with proven ability to create structures and develop operational concepts
  • High tolerance for ambiguity and ability to perform under pressure to meet deadlines
  • Experience developing roadmaps and long-term data-driven strategies for improving operations, data platform efficiencies – all without sacrificing quality
  • Deep understanding of software development for machine-learned products and services
  • Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
  • Innate capability to, directly and indirectly, lead teams through success
  • Strong technical project/product management experience in large scale systems, Linux/server operating systems, databases, cloud computing, big data, networking, and bonus points for past programming experience.
  • Prior PM or engineering experience in speech recognition, natural language understanding, search, data pipelines, and/or A/B testing a big plus

The ideal candidate will have a strong technical background in one or more of the following areas:

  • Data architecture
  • Hadoop, Spark, Kafka, large scale real time and batch processing
  • Machine learning, artificial intelligence, feature engineering, model lifecycle management and deployment
  • Query building, Presto, HIVE, SQL, metadata, data wrangling,
  • Data warehouse, data stores, aggregations, data architecture, data integrations
  • Data quality, SLAs, customer engagement
  • Containerization – Kubernetes, agile, workflow, resource management
  • Scalable API infrastructure and general APIs
  • Data assets, data governance, storage and sharing
  • User experiences, user access, security, query builder, interface and information architecture
  • The Customer Service Representative is responsible for providing service excellence to customers by processing orders, quotes and assisting customers with catalog information, always maintaining and exhibiting SOHO values to each and every customer.
  • Accurately processes customer transactions such as orders, quotes or returns with a strong focus on service excellence.
  • Follows up with customers to ensure ongoing customer satisfaction and to resolve any customer concerns that may arise.
  • Provides information regarding availability of in stock and out of stock items. Provides customers with cross-selling and up-selling opportunities, and offers associated products and promotional items.
  •  Researches and expedites customer orders. Monitors and ensures delivery date and product quality to meet customer requirements; verifies customer orders are processed correctly.
  • Confirms special handling orders are expedited. Fills requests for catalogs, information or samples.
  • Demonstrates effective time management and planning/organizing skills. Self-motivated and results oriented. Works effectively with other members of the team.
  • Maintains a high level of commitment to achieve goals. Promotes and maintains high standards of quality and service excellence. Exhibits strong analytical, problem solving and negotiation skills, and analyzes the impact of decisions before execution.
  • Proficient in using personal computer, data entry terminal and other common office equipment and software. Takes initiative to expand knowledge for position utilizing all available sources.
  • Supports local Customer Service teams, and provides support for other teams when needed.
  • Provides Chat support as required, local language plus other required languages.
  • Regular attendance at work is an essential part of the job.
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